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    <title>Gmane</title>
    <url>http://gmane.org/img/gmane-25t.png</url>
    <link>http://gmane.org</link>
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  <item rdf:about="http://comments.gmane.org/gmane.comp.ai.loom/160">
    <title>International Workshop on Computational Aspects of Social and Information Networks (CASIN ‘2011)</title>
    <link>http://comments.gmane.org/gmane.comp.ai.loom/160</link>
    <description>&lt;pre&gt;*CALL FOR PARTICIPATION*
International Workshop on Computational Aspects of Social and Information
Networks (CASIN ‘2011)
July 20-22, Beijing, China

Co-organized by Tsinghua University and Microsoft Research Asia
http://casin2011.arnetminer.org/casin2011/

We cordially invite you to participate in the International Workshop on
Computational Aspects of Social and Information Networks (CASIN‘2011), to be
held on July 20-22, in Beijing, China, co-organized by Tsinghua University
and Microsoft Research Asia. CASIN’2011 is intended to bring together
researchers and practitioners from various fields working on social and
information networks to exchange their latest research results and to
sparkle new ideas and directions in the study of networks. It also aims at
fostering research in social and information networks in the greater China
region, and attracting students to work on challenging problems in this
interdisciplinary area.
Besides regular speeches delivered by world-leading experts in this area, we
will have a special student forum session, in which a number of selected
students will give short presentations about their recent research work on
social and information networks. The presentations will be rated by our
invited speakers and three students will be selected to receive the
CASIN’2011 Best Student Presentation Award with a monetary compensation.
Through this student forum, we hope to give many students opportunities to
interact with world-leading researchers and get their feedbacks. For
students who are interested in participating in the student forum, please
visit the workshop website above and register your personal and talk
information.
For more information, please visit CASIN’2011 website given above. The free
registration site is open now. If you are interested in the workshop, please
register to the workshop through the workshop website. We are looking
forward to meeting you in the workshop.

CASIN’2011 Organizers
_______________________________________________
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&lt;/pre&gt;</description>
    <dc:creator>Tony Wang</dc:creator>
    <dc:date>2011-07-04T01:21:12</dc:date>
  </item>
  <item rdf:about="http://comments.gmane.org/gmane.comp.ai.loom/159">
    <title>ICDM 2011 Data Mining Contest</title>
    <link>http://comments.gmane.org/gmane.comp.ai.loom/159</link>
    <description>&lt;pre&gt;*ICDM 2011 Data Mining Contest*

Wikipedia Participation Challenge

Competition now open! Go to the Contest Website on Kaggle.com for more
information.

The 2011 ICDM Data Mining Contest is now open. The contest is sponsored by
the Wikimedia Foundation and hosted by Kaggle. The challenge is to develop
methods that can predict future editing activity on Wikipedia. Prize money
totaling $10,000 is available for the top finishers. See the contest website
and the Wikimedia announcement for more information.


Participants will be invited to submit a paper to ICDM describing their
solution. Papers will be reviewed by the contest co-chairs, and selected
papers will be published in the conference proceedings. Selected entries
will be invited to present their solution at a special session of the ICDM
conference. Contest winners will be announced at the ICDM awards ceremony.


Important Dates

June 28, 2011: Contest begins
September 20, 2011: Contest ends
September 27, 2011: Submission of papers from contest teams
October 4, 2011: Announcement of selected papers
October 11, 2011: Submission of camera-ready papers by selected teams
December 11-14, 2011: Winners announced at ICDM conference

ICDM Contest Co-Chairs

Larry Holder, Washington State University
Ashok Srivastava, NASA Ames
Howie Fung, Wikimedia Foundation
Diederik van Liere, Wikimedia Foundation
_______________________________________________
Loom Knowledge Representation Language Forum
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&lt;/pre&gt;</description>
    <dc:creator>Tony Wang</dc:creator>
    <dc:date>2011-07-03T09:57:43</dc:date>
  </item>
  <item rdf:about="http://comments.gmane.org/gmane.comp.ai.loom/158">
    <title>ADMA2011:The 7th International Conference on AdvancedData Mining and Applications</title>
    <link>http://comments.gmane.org/gmane.comp.ai.loom/158</link>
    <description>&lt;pre&gt;Dear Colleagues:

==========================================

Call for Papers   ***Apologies for cross-posting***

The 7th International Conference on Advanced Data Mining and Applications
(ADMA 2011) 17-19 December 2011, Tsinghua University, Beijing, China
http://adma2011.arnetminer.org

---------------------------------------------------------------------

The 7th International Conference on Advanced Data Mining and
Applications (ADMA 2011)  aims at bringing together the experts on
data mining from around the world, and providing a leading
international forum for the dissemination of original research
findings in data mining, spanning applications, algorithms, software
and systems, as well as different applied disciplines with potential
in data mining.

* Proceedings/Publications:
 - The proceedings of the conference will be published by Springer in
its Lecture Notes in Computer Science series, and indexed by EI.
 - A selected number of the accepted papers will be expanded and
revised for possible inclusion in Data &amp;amp; Knowledge Engineering
(indexed by *SCI*).
 - High-quality papers that particularly address the intelligent
systems issues will be highly recommended for ACM Transactions on
Intelligent Systems and Technology (*ACM TIST*)

publication in their extensions in rapid review and publication.

* Keynotes:
 - Philip S. Yu, Department of Computer Science, University of Illinois
Chicago
 - Wolfgang Nejdl, Director of L3S Research Center, University of Hannover
 - Stefan Decker, National University of Ireland


* Important Dates:
 - Submission Deadline:           July 7, 2011
 - Notification of Acceptance:      September 7, 2011
 - Camera Ready Submission Due:  September 23, 2011

* Topics:
We call for papers on any topics of advanced data mining and
applications, including but not limited to:

Advanced Data Mining Topics
 - Social network mining
 - Social search and analysis
 - Collective intelligence in the social Web
 - Parallel and distributed data mining algorithms
 - Mining on data streams
 - Graph and subgraph mining
 - Methodologies on large-scale data mining
 - Text, video, multimedia data mining
 - Web mining
 - High performance data mining algorithms
 - Modeling complex social systems
 - Evolution of social communities and social media
 - Collaborative filtering in social networks
 - Data mining visualization
 - Security and privacy issues
 - Competitive analysis of mining algorithms
 - Data Mining Applications

Social Network Applications
 - Scalable data preprocessing and cleaning techniques
 - Data mining systems in finance, sciences, retail, e-commerce
 - Emerging applications of large-scale data mining
 - Empirical study of data mining algorithms
 - Parallel data mining applications
 - DNA sequencing, bioinformatics, genomics, and biometrics
 - E-commerce and Web services
 - Medical informatics
 - Disaster prediction
 - Financial market analysis
 - Intelligent system
 - Application of data mining in education

* Organizing Committee:
---------------------
General co-chairs:
 - Deyi Li, Chinese Academy of Engineering
 - Bing Liu, Department of Computer Science, University of Illinois at
Chicago
 - Charu C. Aggarwal, IBM T. J. Watson Research Center

PC co-chairs:
 - Jie Tang, Department of Computer Science, Tsinghua University
 - Jianyong Wang, Department of Computer Science, Tsinghua University
 - Irwin King, Department of Computer Science and Engineering, The
Chinese University of Hong Kong

Regional Organization co-chairs:
 - Ruoming Jin, Computer Science Department, Kent State University
 - Ee-Peng Lim, School of Information Systems, Singapore Management
University
 - Marie-Francine Moens, Department of Computer Science of K.U. Leuven
 - Jimeng Sun, IBM TJ Watson lab
 - Hwanjo Yu, Computer Science Department University of Iowa
 - Xingquan Zhu, University of Technology Sydney


* General enquiries:
---------------------
 Zhichun Wang (Tsinghua U.)
 email: adma11thu&amp;lt; at &amp;gt;gmail.com
 fax: 86010-62794365
 website: http://adma2011.arnetminer.org/
_______________________________________________
Loom Knowledge Representation Language Forum
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&lt;/pre&gt;</description>
    <dc:creator>Tony Wang</dc:creator>
    <dc:date>2011-06-22T00:27:22</dc:date>
  </item>
  <item rdf:about="http://comments.gmane.org/gmane.comp.ai.loom/157">
    <title>ICDM '11: The 11th IEEE International Conference onData Mining</title>
    <link>http://comments.gmane.org/gmane.comp.ai.loom/157</link>
    <description>&lt;pre&gt;/* Apologies for multiple postings */

IEEE ICDM 2011 Call for Papers

ICDM '11: The 11th IEEE International Conference on Data Mining
***************************************************************

Sponsored by the IEEE Computer Society
December 11-14, 2011, Vancouver, Canada
http://webdocs.cs.ualberta.ca/~icdm2011/

Important Dates
***************

April 1, 2011: Workshop proposals
June 17, 2011: ICDM paper submission
(11:59pm Hawaii time)
June 24, 2011: Demo and Tutorial submission August 5, 2011: Workshop paper
submission September 16, 2011: ICDM paper notifications September 23, 2011:
Workshop paper notifications

The IEEE International Conference on Data Mining (ICDM) has established
itself as the world's premier research conference in data mining. The 11th
edition of ICDM (ICDM '11) provides a leading forum for presentation of
original research results, as well as exchange and dissemination of
innovative, practical development experiences. The conference covers all
aspects of data mining, including algorithms, software and systems, and
applications. In addition, ICDM draws researchers and application developers
from a wide range of data mining related areas such as statistics, machine
learning, pattern recognition, databases and data warehousing, data
visualization, knowledge-based systems, and high performance computing. By
promoting novel, high quality research findings, and innovative solutions to
challenging data mining problems, the conference seeks to continuously
advance the state-of-the-art in data mining. Besides the technical program,
the conference will feature invited talks from research and industry
leaders, workshops, tutorials, panels, and the ICDM data mining contest.

Paper Submissions
*****************

High quality papers in all data mining areas are solicited. Original papers
exploring new directions will receive especially careful consideration.
Papers that have already been accepted or are currently under review for
other conferences or journals will not be considered for ICDM '11.

Paper submissions should be limited to a maximum of 10 pages in the IEEE
2-column format (http://www.computer.org/portal/web/cscps/formatting). All
papers will be triple-blind reviewed by the Program Committee on the basis
of technical quality, relevance to data mining, originality, significance,
and clarity. Papers that do not comply with the Submission Guidelines
(http://webdocs.cs.ualberta.ca/~icdm2011/submission-guidelines) will be
rejected without review.

Accepted papers will be published in the conference proceedings by the IEEE
Computer Society Press and accorded oral presentation times in the main
conference. Submissions accepted as regular papers will be allocated 10
pages in the proceedings. Submissions accepted as short papers will be
allocated 6 pages in the proceedings and will have a shorter presentation
time at the conference than regular papers.

A selected number of IEEE ICDM '11 accepted papers will be invited for
possible inclusion, in expanded and revised form, in the Knowledge and
Information Systems journal (http://www.cs.uvm.edu/~kais/) published by
Springer-Verlag.

Please click here
(http://wi-lab.com/cyberchair/2011/icdm11/scripts/submit.php) to submit your
papers to ICDM2011.

ICDM Best Paper Awards
**********************

IEEE ICDM Best Paper Awards will be conferred at the conference on the
authors of (1) the best research paper, (2) the best application paper, and
(3) the best student paper. Strong, foundational results will be considered
for the best research paper award and application -oriented submissions will
be considered for the best application paper award. The best student paper
award will be given to the authors of the best paper written solely by one
or more students.

Tutorials
*********

ICDM '11 will host short and long tutorials that focus on new research
directions and initiatives. The deadline for submission of tutorial
proposals is June 24, 2011.

Please click here
(http://webdocs.cs.ualberta.ca/~icdm2011/call-for/call-for-tutorials)
to see Call for Tutorials.

Workshops
*********

ICDM '11 will host short and long workshops that focus on new research
directions and initiatives. All accepted workshop papers will be included in
a separate workshop proceedings published by the IEEE Computer Society
Press.

The deadline for workshop proposals is April 1, 2011.  The deadline for
Workshop paper submissions is August 5, 2011.

Please click here (http://webdocs.cs.ualberta.ca/~icdm2011/workshops)
to see the workshop details.

ICDM Data Mining Contest
************************

ICDM '11 will host a data mining contest to challenge researchers and
practitioners with a real practical data mining problem.

For further details on the contest, please click here
(http://webdocs.cs.ualberta.ca/~icdm2011/contest).

ICDM Data Mining Demos and Exhibits
***********************************

ICDM '11 will host demos and exhibits. The exhibitors will be given the
opportunity to distribute product, service, and company literature, give
demonstrations and carry out recruitment activities.
Demos are solicited for demonstrating data mining software systems and
libraries closely related to the area of data mining and knowledge
discovery, or showing new technological advances in applying data mining
techniques.

Please click here
(http://webdocs.cs.ualberta.ca/~icdm2011//call-for/call-for-demo) to see
Call for Demos.

Topics of Interest
******************

Topics related to the design, analysis and implementation of data mining
theory, systems and applications are of interest. These include, but are not
limited to the following areas: data mining foundations, mining in emerging
domains, methodological aspects and the KDD process, and integrated KDD
applications, systems, and experiences.

- Data mining foundations

   Novel data mining algorithms in traditional areas (such as
classification,
       regression, clustering, probabilistic modeling, pattern discovery,
       and association analysis)
   Models and algorithms for new, structured, data types, such as arising
in
       chemistry, biology, environment, and other scientific domains
   Developing a unifying theory of data mining
   Mining sequences and sequential data
   Mining spatial and temporal datasets
   Mining textual and unstructured datasets
   Distributed data mining
   High performance implementations of data mining algorithms
   Privacy and anonymity-preserving data analysis


- Mining in emerging domains

   Stream Data Mining
   Mining moving object data, RFID data, and data from sensor networks
   Ubiquitous knowledge discovery
   Mining multi-agent data and agent-based data mining
   Mining and link analysis in networked settings: web, social and computer
       networks, and online communities
   Mining the semantic web
   Data mining in electronic commerce, such as recommendation, sponsored
web search,
       advertising, and marketing tasks


- Methodological aspects and the KDD process

   Data pre-processing, data reduction, feature selection, and feature
transformation
   Quality assessment, interestingness analysis, and post-processing
   Statistical foundations for robust and scalable data mining
   Handling imbalanced data
   Automating the mining process and other process related issues
   Dealing with cost sensitive data and loss models
   Human-machine interaction and visual data mining
   Integration of data warehousing, OLAP and data mining
   Data mining query languages
   Security and data integrity


- Integrated KDD applications, systems, and experiences

   Bioinformatics, computational chemistry, ecoinformatics
   Computational finance, online trading, and analysis of markets
   Intrusion detection, fraud prevention, and surveillance
   Healthcare, epidemic modeling, and clinical research
   Customer relationship management
   Telecommunications, network and systems management
   Sustainable mobility and intelligent transportation systems


Student Travel Scholarships
***************************

A limited number of student travel scholarships will be available to support
student authors to attend ICDM 2011 to present their papers. The student
travel scholarship committee will make the final decision for the final
awarded students.

In general, US$500 to US$1000 will be awarded to each successful applicant.

Organizing Committee
********************

Conference Co-Chairs:
Osmar Zaiane (University of Alberta, Canada) Wei Wang (University of North
Carolina at Chapel Hill, USA)

Program Co-Chairs:
Jian Pei (Simon Fraser University, Canada) Diane Cook (Washington State
University, USA)

Steering Committee:
Xindong Wu (Chair) (University of Vermont, USA) David J. Hand (Imperial
College, London, UK) Ramamohanarao Kotagiri (University of Melbourne,
Australia) Vipin Kumar (University of Minnesota, USA) Heikki Mannila
(University of Helsinki, Finland) Gregory Piatetsky-Shapiro (KDnuggets, USA)
Shusaku Tsumoto (Shimane University, Japan) Benjamin W. Wah (University of
Illinois, Urbana-Champaign, USA) Philip S. Yu (University of Illinois at
Chicago, USA) Osmar R. Zaiane (University of Alberta, Canada)

Local Arrangements Chair:
Martha Casey-Knight (Independent Consultant - Event Coordinator at the
Prevention of Organ Failure Centre of Excellence, Vancouver) Carson Leung
(University of Manitoba, Canada)

Finance Chair:
Charles X. Ling (University of Western Ontario, Canada)

Sponsorship Co-Chairs:
Wei Ding (University of Massachusetts Boston, USA) Gabor Melli
(PredictionWorks, USA)

Workshop Co-Chairs:
Myra Spiliopoulou (University of Magdeburg, Germany) Haixun Wang (Microsoft
Research Asia, China)

Tutorial Co-Chairs:
Evimaria Terzi (Boston University, USA)
Jure Leskovec (Stanford University, USA)

Exhibits and Demos Co-Chairs:
Ming Hua (Facebook, USA)
Alex Thomo (University of Victoria, Canada)

Contest Co-Chairs:
Ashok Srivastava (NASA Ames, USA)
Larry Holder (Washington State University, USA)

PhD Forum Co-Chairs:
Rosa Meo (University of Torino, Italy)
Alfredo Cuzzocrea (Institute of High Performance Computing and Networking,
Italy)

Publicity Co-Chairs:
Olfa Nasraoui (University of Louisville, USA) Latifur Khan (University of
Texas at Dallas) Jie Tang (Tsinghua University, China)

Panel Chair:
George Karypis (University of Minnesota, USA)

Documentation Chair:
Gabor Melli (PredictionWorks, USA)

Web Master:
Justin Fagnan (University of Alberta)

Further Information
*******************
Please contact ICDM 2011 Chairs by email: ICDM2011Chairs&amp;lt; at &amp;gt;gmail.com
_______________________________________________
Loom Knowledge Representation Language Forum
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&lt;/pre&gt;</description>
    <dc:creator>Tony Wang</dc:creator>
    <dc:date>2011-06-06T08:23:28</dc:date>
  </item>
  <item rdf:about="http://comments.gmane.org/gmane.comp.ai.loom/156">
    <title>DMCS 2011:Fourth Workshop on Data Mining Case Studies and Success Stories and Fourth Data Mining Practice Prize</title>
    <link>http://comments.gmane.org/gmane.comp.ai.loom/156</link>
    <description>&lt;pre&gt;Fourth Workshop on Data Mining Case Studies and Success Stories
and Fourth Data Mining Practice Prize
(DMCS 2011)
http://www.dataminingcasestudies.com/&amp;lt;http://emuch.net/bbs/url.php?s=http%3A%2F%2Fwww.dataminingcasestudies.com%2F&amp;gt;
December 10, 2011
Vancouver, Canada

to be held in conjunction with

ICDM 2011 IEEE International Conference on Data Mining
Vancouver, Canada, December 11-14, 2011
http://icdm2011.cs.ualberta.ca/&amp;lt;http://emuch.net/bbs/url.php?s=http%3A%2F%2Ficdm2011.cs.ualberta.ca%2F&amp;gt;

Call For Papers
---------------------------------------------------------------


Motivation:

solve practical problems. Yet a cursory examination of the publications
shows that few papers describe a completed implementation or

what we will term a “case study”. The small number of case studies is
counter-balanced by their prominence. Anecdotally case studies are one of
the most discussed topics at data mining conferences. Some of the

benefits of good case studies include

1. Inspiration: Case studies provide examples that can inspire data mining
researchers to pursue important new technical directions.
2. Innovation: Data mining case studies demonstrate how whole problems were
solved - not just part of the problem. Often building the prediction
algorithm is only 10% of the problem - the other aspects that

comprise a successful deployment are valuable for practitioners to
understand.
3. Education: People are more likely to remember stories than facts.
4. Media Coverage: The media is more likely to report on completed data
mining applications, than they are on isolated algorithms. We have an
opportunity to present positive success stories to the wider

community.
5. Public relations: Applications, particularly those that are socially
beneficial, will help our perception both within the wider public and other
scientific fields.
6. Connections to Other Scientific Fields: Completed systems knit together a
range of scientific and engineering disciplines such as signal processing,
chemistry, optimization theory, auction theory and so on.

Fostering meaningful connections to these fields will benefit data mining
academically, and will assist data mining practitioners to learn how to
harness these fields to develop successful applications.

The Workshop:

The Data Mining Case Studies Workshop and Practice Prize was established
seven years ago to showcase the very best in data mining case deployments.
Data Mining Case Studies continues with ICDM 2011. Data Mining

Case Studies will highlight data mining implementations that have been
responsible for a significant and measurable improvement in business
operations, or an equally important scientific discovery, or some other

benefit to humanity.

Examples of Data Mining Case Studies from previous years have included: (a)
a medical application that has save hundreds of lives by mining through
hundreds of thousands of patient records to identify patients

who have show all the signs for heart disease, yet have not been prescribed
heart medication, (b) a system which has uncovered hundreds of millions in
sheltered tax evasion rings, (c) a system which has raised

revenue by improved cross-selling of computer peripherals and equipment.

Data Mining Case Studies will allow papers greater latitude in (a) range of
topics - authors may touch upon areas such as optimization, operations
research, inventory control, and so on, (b) page length - longer

submissions are allowed, (c) scope - more complete context, problem and
solution descriptions will be encouraged, (d) prior publication - if the
paper was published in part elsewhere, it may still be considered

if the new article is substantially more detailed, (e) novelty – the use of
established techniques to achieve successful implementations will be given
partial allowance.

Unsuccessful data mining systems that describe lessons learned and “war
stories” will also be assessed.

----------------------------------
The Data Mining Practice Prize
----------------------------------

Introduction: The Data Mining Practice Prize will be awarded for the best
Data Mining Case Study submission. The prize will be awarded for work that
has had a significant and quantitative impact in the

application in which it was applied, or has significantly benefited
humanity. Detailed rules and regulations will be finalized upon workshop
acceptance.

Eligibility: All papers submitted to Data Mining Case Studies will be
eligible for the Data Mining Practice Prize, with the exception of the Data
Mining Practice Prize Committee. Eligible authors must consent to

allowing the Practice Prize Committee independently validate their claims by
contacting third parties and their deployment client for independent
verification and analysis.
Award: Winners and runners up can expect an impressive array of honors
including
1. Prize money comprising $500 for first place, $300 for second place, $200
for third place.
2. Plaque.
3. Awards Dinner with organizers and prize winners.

Topics:

Most operational industrial and scientific systems that involve data mining
to some extent are likely to be acceptable. Systems that are responsible for
mission critical systems, medical applications, cash flow,

or applications that significantly benefit humanity will be particularly
good candidates. If you are unsure as to the suitability of your paper,
please contact the organizers with your topic at the email address

at the bottom of the page. Topics include but are not limited to

- Genomics
- Inventory control
- Customer Relationship Management (CRM)
- ShopBots
- Recommendation systems
- Auction trading systems
- Clinical patient monitoring
- Seismic Data interpretation
- Survival analysis for medical procedures
- Climate analysis
- Correlates of genes with disease
- Dangerous Drug interactions
- Law enforcement applications
- Search Engine Marketing
- Food spoilage elimination
- Price optimization
- Data visualization in mission-critical user interfaces
- Text understanding


Dates:

Notify organizers of intent to submit:
Now

Submissions open:
May 8Optional Draft submission including client contact information*:
Jun 15Final submission including client contact information if it has not
already been provided:
Jul 23Notification of

acceptance:
Sep 23

Camera ready paper submission:
Oct 11

Workshop held, Practice Prize winners announced
: Dec 10


* Although this is an optional deadline, we encourage authors to make use of
the opportunity to submit their drafts and receive early feedback on their
paper.


Submission instructions:

In order to contact the organizers, submit, or for any other correspondence,
please use the following email address

submissions&amp;lt; at &amp;gt;dataminingcasestudies.com

1. Please email the organizers as early as possible with your intention to
submit.
2. If possible, it is recommended that you provide an optional draft of the
article by the draft submission date.  This draft will only be viewed by the
Chairs - it will not be given to the reviewers or affect

the prize competition.
3. Please provide us with three persons who use the system in their day to
day activities, or are responsible for the system, and who may be contact to
validate the claims made in the paper. Ideally these

individuals belong to a different company than the authors. Also, ideally
these individuals are not personal acquaintances or friends of the authors.
4. Provide your author names, addresses, affiliations, phone numbers and
email. Also note the nature of relationship of each contact to the system
and authors. Finally, provide any information of relevance to

contacting deployment users.
5. Please submit your completed article, in IEEE Proceedings format to the
email address above. Due to editing requirements for the Workshop
Proceedings, we strongly encourage documents to be submitted in

Microsoft Word format.

Guidelines:

1. Word limits: Word limits will be relaxed for submission to Data Mining
Case Studies, so that participants may explain their problem and solution in
as much detail as necessary to both captivate the reader and

explain the solution. The maximum submission page length will be 20 pages.
Despite the longer page length, articles will be critically assessed for
relevancy, and authors risk rejection if their articles do not

keep the reader's interest. In addition, the PC will look for ways to cut
the article, and so any recommendations made by the PC for cutting the
article will need to be followed to prior to inclusion in the

workshop program
2. Commercial product mentions: Data Mining Case Studies is not a sales
venue. References to commercial products will be carefully scrutinized by
our Program Committee for applicability. Where possible the

underlying techniques should be described. The purpose of Data  Mining Case
Studies is to illustrate real applications with descriptions that are
concise and complete. Commercial software if introduced, should

be named briefly and then described at a technical level (eg. don't mention
that "SAS Neural Nets(TM) increased our forecast accuracy by 20%" - instead
say that you used 'SAS PROC Neural Net(TM)' which

implemented a 3- layer sigmoidal backpropagation model with 10 inputs, 4
hidden and 1 output node, and this net increased forecast accuracy by 20%".
Any papers violating these ethics will be deemed inadmissible.

If in doubt please contact the organizers prior to submission. We will allow
a single product mention along the lines described above, and this should be
sufficient for establishing commercial credibility.
3. Valid contact information for the company that deployed the data mining
system must be supplied to the Program Committee. The Program Committee
should be afforded the right to contact individuals that were

the beneficiaries of the data mining system and ask them questions about the
implementation. In particular, the claims made in the paper submission will
need to be verified. Failure to provide factual or

complete descriptions of results obtained with the system, that are
discovered through this fact checking process, will result in forfeiture of
prize and dismissal from the conference. The Prize Committee will

endeavor to be discrete in its contacts, so please inform us of any
information we need to know before contacting the system users.
4. Copyright: Authors will agree to allow the display of their articles on
the web. Authors should also agree to allow their articles to be published
in book form. If authors wish to opt out of website or book

publication, please contact the Workshop organizers.
5. Confidentiality: The reviewing process will be confidential.

Venue:

ICDM 2011: The 11th IEEE International Conference on Data Mining, December
11-14, 2011, Vancouver, Canada

Organizing Committee:

Wei Ding, PhD, University of Massachusetts
Gabor Melli, Prediction Works
Brendan Kitts, Lucid Commerce
Gregory Piatetsky-Shapiro, PhD, President, KD-Nuggets
Robert Grossman, PhD, University of Chicago and Open Data Group
Peter van der Putten, PhD., Leiden University and Pegasystems
Karl Rexer, PhD., Rexer Analytics
Gang Wu, PhD, Microsoft
Jing Ying Zhang, PhD, Microsoft
Dean Abbott, Abbott Analytics
Richard Bolton, PhD., KnowledgeBase Marketing, Inc.
Ricardo Vilalta, PhD. University of Houston

Further Information
http://www.dataminingcasestudies.com&amp;lt;http://emuch.net/bbs/url.php?s=http%3A%2F%2Fwww.dataminingcasestudies.com&amp;gt;
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    <dc:date>2011-06-03T02:11:10</dc:date>
  </item>
  <item rdf:about="http://comments.gmane.org/gmane.comp.ai.loom/155">
    <title>ICDM '11: The 11th IEEE International Conference onData Mining</title>
    <link>http://comments.gmane.org/gmane.comp.ai.loom/155</link>
    <description>&lt;pre&gt;/* Apologies for multiple postings */

IEEE ICDM 2011 Call for Papers

ICDM '11: The 11th IEEE International Conference on Data Mining
***************************************************************

Sponsored by the IEEE Computer Society
December 11-14, 2011, Vancouver, Canada
http://webdocs.cs.ualberta.ca/~icdm2011/

Important Dates
***************

April 1, 2011: Workshop proposals
June 17, 2011: ICDM paper submission
(11:59pm Hawaii time)
June 24, 2011: Demo and Tutorial submission
August 5, 2011: Workshop paper submission
September 16, 2011: ICDM paper notifications
September 23, 2011: Workshop paper notifications

The IEEE International Conference on Data Mining (ICDM) has
established itself as the world's premier research conference in data
mining. The 11th edition of ICDM (ICDM '11) provides a leading forum
for presentation of original research results, as well as exchange and
dissemination of innovative, practical development experiences. The
conference covers all aspects of data mining, including algorithms,
software and systems, and applications. In addition, ICDM draws
researchers and application developers from a wide range of data
mining related areas such as statistics, machine learning, pattern
recognition, databases and data warehousing, data visualization,
knowledge-based systems, and high performance computing. By promoting
novel, high quality research findings, and innovative solutions to
challenging data mining problems, the conference seeks to continuously
advance the state-of-the-art in data mining. Besides the technical
program, the conference will feature invited talks from research and
industry leaders, workshops, tutorials, panels, and the ICDM data
mining contest.

Paper Submissions
*****************

High quality papers in all data mining areas are solicited. Original
papers exploring new directions will receive especially careful
consideration. Papers that have already been accepted or are currently
under review for other conferences or journals will not be considered
for ICDM '11.

Paper submissions should be limited to a maximum of 10 pages in the
IEEE 2-column format
(http://www.computer.org/portal/web/cscps/formatting). All papers will
be triple-blind reviewed by the Program Committee on the basis of
technical quality, relevance to data mining, originality,
significance, and clarity. Papers that do not comply with the
Submission Guidelines
(http://webdocs.cs.ualberta.ca/~icdm2011/submission-guidelines) will
be rejected without review.

Accepted papers will be published in the conference proceedings by the
IEEE Computer Society Press and accorded oral presentation times in
the main conference. Submissions accepted as regular papers will be
allocated 10 pages in the proceedings. Submissions accepted as short
papers will be allocated 6 pages in the proceedings and will have a
shorter presentation time at the conference than regular papers.

A selected number of IEEE ICDM '11 accepted papers will be invited for
possible inclusion, in expanded and revised form, in the Knowledge and
Information Systems journal (http://www.cs.uvm.edu/~kais/) published
by Springer-Verlag.

Please click here
(http://wi-lab.com/cyberchair/2011/icdm11/scripts/submit.php) to
submit your papers to ICDM2011.

ICDM Best Paper Awards
**********************

IEEE ICDM Best Paper Awards will be conferred at the conference on the
authors of (1) the best research paper, (2) the best application
paper, and (3) the best student paper. Strong, foundational results
will be considered for the best research paper award and application
-oriented submissions will be considered for the best application
paper award. The best student paper award will be given to the authors
of the best paper written solely by one or more students.

Tutorials
*********

ICDM '11 will host short and long tutorials that focus on new research
directions and initiatives. The deadline for submission of tutorial
proposals is June 24, 2011.

Please click here
(http://webdocs.cs.ualberta.ca/~icdm2011/call-for/call-for-tutorials)
to see Call for Tutorials.

Workshops
*********

ICDM '11 will host short and long workshops that focus on new research
directions and initiatives. All accepted workshop papers will be
included in a separate workshop proceedings published by the IEEE
Computer Society Press.

The deadline for workshop proposals is April 1, 2011.  The deadline
for Workshop paper submissions is August 5, 2011.

Please click here (http://webdocs.cs.ualberta.ca/~icdm2011/workshops)
to see the workshop details.

ICDM Data Mining Contest
************************

ICDM '11 will host a data mining contest to challenge researchers and
practitioners with a real practical data mining problem.

For further details on the contest, please click here
(http://webdocs.cs.ualberta.ca/~icdm2011/contest).

ICDM Data Mining Demos and Exhibits
***********************************

ICDM '11 will host demos and exhibits. The exhibitors will be given
the opportunity to distribute product, service, and company
literature, give demonstrations and carry out recruitment activities.
Demos are solicited for demonstrating data mining software systems and
libraries closely related to the area of data mining and knowledge
discovery, or showing new technological advances in applying data
mining techniques.

Please click here
(http://webdocs.cs.ualberta.ca/~icdm2011//call-for/call-for-demo) to
see Call for Demos.

Topics of Interest
******************

Topics related to the design, analysis and implementation of data
mining theory, systems and applications are of interest. These
include, but are not limited to the following areas: data mining
foundations, mining in emerging domains, methodological aspects and
the KDD process, and integrated KDD applications, systems, and
experiences.

- Data mining foundations

    Novel data mining algorithms in traditional areas (such as
classification,
regression, clustering, probabilistic modeling, pattern discovery,
and association analysis)
    Models and algorithms for new, structured, data types, such as arising
in
chemistry, biology, environment, and other scientific domains
    Developing a unifying theory of data mining
    Mining sequences and sequential data
    Mining spatial and temporal datasets
    Mining textual and unstructured datasets
    Distributed data mining
    High performance implementations of data mining algorithms
    Privacy and anonymity-preserving data analysis


- Mining in emerging domains

    Stream Data Mining
    Mining moving object data, RFID data, and data from sensor networks
    Ubiquitous knowledge discovery
    Mining multi-agent data and agent-based data mining
    Mining and link analysis in networked settings: web, social and
computer
networks, and online communities
    Mining the semantic web
    Data mining in electronic commerce, such as recommendation, sponsored
web search,
advertising, and marketing tasks


- Methodological aspects and the KDD process

    Data pre-processing, data reduction, feature selection, and feature
transformation
    Quality assessment, interestingness analysis, and post-processing
    Statistical foundations for robust and scalable data mining
    Handling imbalanced data
    Automating the mining process and other process related issues
    Dealing with cost sensitive data and loss models
    Human-machine interaction and visual data mining
    Integration of data warehousing, OLAP and data mining
    Data mining query languages
    Security and data integrity


- Integrated KDD applications, systems, and experiences

    Bioinformatics, computational chemistry, ecoinformatics
    Computational finance, online trading, and analysis of markets
    Intrusion detection, fraud prevention, and surveillance
    Healthcare, epidemic modeling, and clinical research
    Customer relationship management
    Telecommunications, network and systems management
    Sustainable mobility and intelligent transportation systems


Student Travel Scholarships
***************************

A limited number of student travel scholarships will be available to
support student authors to attend ICDM 2011 to present their
papers. The student travel scholarship committee will make the final
decision for the final awarded students.

In general, US$500 to US$1000 will be awarded to each successful
applicant.

Organizing Committee
********************

Conference Co-Chairs:
Osmar Zaiane (University of Alberta, Canada)
Wei Wang (University of North Carolina at Chapel Hill, USA)

Program Co-Chairs:
Jian Pei (Simon Fraser University, Canada)
Diane Cook (Washington State University, USA)

Steering Committee:
Xindong Wu (Chair) (University of Vermont, USA)
David J. Hand (Imperial College, London, UK)
Ramamohanarao Kotagiri (University of Melbourne, Australia)
Vipin Kumar (University of Minnesota, USA)
Heikki Mannila (University of Helsinki, Finland)
Gregory Piatetsky-Shapiro (KDnuggets, USA)
Shusaku Tsumoto (Shimane University, Japan)
Benjamin W. Wah (University of Illinois, Urbana-Champaign, USA)
Philip S. Yu (University of Illinois at Chicago, USA)
Osmar R. Zaiane (University of Alberta, Canada)

Local Arrangements Chair:
Martha Casey-Knight (Independent Consultant - Event Coordinator at the
Prevention of Organ Failure Centre of Excellence, Vancouver)
Carson Leung (University of Manitoba, Canada)

Finance Chair:
Charles X. Ling (University of Western Ontario, Canada)

Sponsorship Co-Chairs:
Wei Ding (University of Massachusetts Boston, USA)
Gabor Melli (PredictionWorks, USA)

Workshop Co-Chairs:
Myra Spiliopoulou (University of Magdeburg, Germany)
Haixun Wang (Microsoft Research Asia, China)

Tutorial Co-Chairs:
Evimaria Terzi (Boston University, USA)
Jure Leskovec (Stanford University, USA)

Exhibits and Demos Co-Chairs:
Ming Hua (Facebook, USA)
Alex Thomo (University of Victoria, Canada)

Contest Co-Chairs:
Ashok Srivastava (NASA Ames, USA)
Larry Holder (Washington State University, USA)

PhD Forum Co-Chairs:
Rosa Meo (University of Torino, Italy)
Alfredo Cuzzocrea (Institute of High Performance Computing and Networking,
Italy)

Publicity Co-Chairs:
Olfa Nasraoui (University of Louisville, USA)
Latifur Khan (University of Texas at Dallas)
Jie Tang (Tsinghua University, China)

Panel Chair:
George Karypis (University of Minnesota, USA)

Documentation Chair:
Gabor Melli (PredictionWorks, USA)

Web Master:
Justin Fagnan (University of Alberta)

Further Information
*******************
Please contact ICDM 2011 Chairs by email: ICDM2011Chairs&amp;lt; at &amp;gt;gmail.com
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    <dc:date>2011-05-17T01:42:54</dc:date>
  </item>
  <item rdf:about="http://comments.gmane.org/gmane.comp.ai.loom/153">
    <title>CFP：Third Workshop on Large-scale Data Mining: Theory and Applications</title>
    <link>http://comments.gmane.org/gmane.comp.ai.loom/153</link>
    <description>&lt;pre&gt; ********************************************************************************
                                Call for Papers
Third Workshop on Large-scale Data Mining: Theory and Applications (LDMTA
2011)
   in conjunction with SIGKDD2011, August 21-24, 2011, San Diego, CA, USA
                   http://www.arnetminer.org/LDMTA2011
********************************************************************************


Objectives

With advances in data collection and storage technologies, large data
sources have become ubiquitous. Today, organizations routinely collect
terabytes of data on a daily basis with the intent of gleaning non-trivial
insights on their business processes. To benefit from these advances, it is
imperative that data mining and machine learning techniques scale to such
proportions. Such scaling can be achieved through the design of new and
faster algorithms and/or through the employment of parallelism. Furthermore,
it is important to note that emerging and future processor architectures
(like multi-cores) will rely on user-specified parallelism to provide any
performance gains. Unfortunately, achieving such scaling is non-trivial and
only a handful of research efforts in the data mining and machine learning
communities have attempted to address these scales.

At the other end of the spectrum, the past few years have witnessed the
emergence of several platforms for the implementation and deployment of
large-scale analytics. Examples of such platforms include Hadoop (Apache)
and Dryad (Microsoft). These platforms have been developed by the
large-scale distributed processing community and can not only simplify
implementation but also support execution on the cloud making large-scale
machine learning and data mining both affordable and available to all.
Today, there is a large gap between the data mining/machine learning and the
large scale distributed processing communities. To make advances in
large-scale analytics it is imperative that both these communities work
hand-in-hand. The intent of this workshop is to further research efforts on
large-scale data mining and to encourage researchers and practitioners to
share their studies and experiences on the implementation and deployment of
scalable data mining and machine learning algorithms.


Topics of Interest

    * Application case studies that showcase the need for large-scale
machine learning/data mining. Areas of interest of interest include
financial modeling, web mining, medical informatics, climate modeling, and
mining retail and e-commerce data.
    * Parallel and distributed algorithms for large-scale machine
learning/data mining, data preprocessing, and cleaning.
    * Exploiting modern and specialized hardware such as multi-core
processors, GPUs, STI Cell processor, etc.
    * Memory hierarchy aware data mining/machine learning algorithms.
    * Streaming data algorithms for machine learning and data mining.
    * New platforms and/or programming model proposals for
parallel/distributed machine learning and data mining for batch and/or
stream domains.
    * Evaluation of platforms (such as Hadoop) and/or programming models
(such as map-reduce) for batch and/or stream domains.
    * Performance studies comparing cloud, grid, and cluster implementations
    * Data intensive computing approaches
    * Future research challenges in cloud and data intensive computing

Important dates and guidelines

    Submission deadline: May 21th, 2011
    Notification of acceptance: June 10th, 2011
    Final papers due: June 15th, 2011

All papers submitted should have a maximum length of 8 pages and must be
prepared using the ACM camera‐ready template
http://www.acm.org/sigs/pubs/proceed/template.html. Authors are required to
submit their papers electronically in PDF format. The submission site URL
will be available on our website shortly. All submissions should clearly
present the author information including the names of the authors, the
affiliations and the emails. Submission site is located at
https://www.easychair.org/conferences/?conf=ldmta2011

Workshop Co-chairs

    Dr. Chidanand Apte, IBM Research
    Prof. Nitesh V. Chawla, University of Notre Dame
    Dr. Amol Ghoting, IBM Research
    Prof. Yan Liu, University of Southern California
    Dr. Jimeng Sun, IBM Research
    Prof. Jie Tang, Tsinghua University, China
    Dr. Ranga Raju Vatsavai, Oak Ridge National Laboratory

Program Committee

    Shirish Tatikonda, IBM Research
    Gagan Agrawal, Ohio State University
    Jeffrey Yu, Chinese University of Hong Kong
    Alexander Gray, Georgia Tech
    Prabhanjan Kambadur, IBM Research
    Rong Yan, Facebook
    Elad Yom-Tov, Yahoo! Research
    Mohammed Zaki, Rensselaer Polytechnic Institute
    Saeed Salem, North Dakota State University
    Berthold Reinwald, IBM Research
    Yuan Yu, Microsoft Research
    Petros Drineas, Rensselaer Polytechnic Institute
    Misha Bilenko, Microsoft Research
    Ron Bekkerman, LinkedIn
    Vijay Narayanan, Yahoo!
    Milind Bhandarkar, LinkedIn
    Tina Eliassi-Rad, Rutgers University


Steering Committee

    Prof. Christos Faloutsos, Carnegie Mellon University
    Prof. Robert Grossman, University of Illinois at Chicago
    Prof. Jiawei Han, University of Illinois at Urbana-Champaign
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    <dc:date>2011-05-12T03:54:38</dc:date>
  </item>
  <item rdf:about="http://comments.gmane.org/gmane.comp.ai.loom/152">
    <title>Deadline EXTENDED: SIGIR 2011 Workshop on Social Web Search and Mining (SWSM 2011)</title>
    <link>http://comments.gmane.org/gmane.comp.ai.loom/152</link>
    <description>&lt;pre&gt;*** IMPORTANT UPDATES -- PLEASE READ ***

* The paper submission deadline has been EXTENDED to May 15th, 2011 (2 week
extension).

* We will also accept submissions of SHORT PAPERS (position papers,
late-breaking results, etc.) of up to 4 pages of content (see the Content
Guidelines below for further details).

---

Call for Papers - SIGIR 2011 Workshop on Social Web Search and Mining (SWSM
2011): Analysis of User Generated Content Under Crisis

SWSM 2011 will take place in Beijing, China on July 28, 2011 during the 34th
Annual International ACM SIGIR conference. The aim of the workshop is to
provide a forum for researchers and practitioners to discuss ideas related
to searching and mining the social Web, with a special focus on the analysis
of user generated content during human crises (e.g., earthquakes, terrorist
attacks, etc.).

Please be sure to visit http://arnetminer.org/SWSM_2011 for the latest
information.

* Overview

The ubiquitous nature of Web-enabled devices, including desktops, laptops,
tablets, and mobile phones, enables people to participate and interact with
each other in various Web communities. Examples of such communities include
forums, newsgroups, blogs, microblogs, bookmarking services, photo sharing
platforms, and location-based services. Hence, the rapidly evolving social
Web provides a platform for communication, information sharing, and
collaboration. A vast amount of heterogeneous data (composed of e.g., text,
photos, video, links) has been generated by the users of various social
communities, which offers an unprecedented opportunity for studying novel
theories and technologies for social Web search and mining.

The goal of the workshop is to provide a forum for discussing and exploring
social media topics related to Web search and information retrieval, Web
mining, social network analysis, semantic Web, natural language processing,
and computational advertising. In addition to paper presentations, we will
solicit invited talks and a panel that will stress the interdisciplinary
challenges of social search and mining.

* Special Theme: Social Web Search and Mining under Crisis

Natural and man-made disasters are particularly important classes of events
that are of interest to affected populations, governments, disaster response
teams, and aid organizations. Information about such events can be gathered
from various sources. While traditional news sources provide authoritative
disaster information, self-publishing media such as blogs, Facebook, and
Twitter can contribute immediate, personalized eye-witness information.
However, there are many challenges involved when dealing with such data
sources, especially when time is of the essence, as is often the case with
human crises. Information is often incomplete, contradictory, fictitious,
and changing. As a result, information is the least organized when users
need it most.

To highlight the importance of this emerging area, "Social Web Search and
Mining Under Crisis" will serve as the workshop's special theme. Along these
lines, the workshop seeks submissions that leverage news, social media, and
user generated content to predict, analyze, understand, and help cope with
events related to human crises, such as earthquakes, campus shootings,
hurricanes, influenza pandemics, terrorist attacks, and oil spills. Novel
applications, methods, and use of real-world data sets are particularly
encouraged.

A special session during the workshop will be devoted to papers that
directly address the theme.

* Topics of Interest

We welcome papers in all areas of social Web search and data mining,
especially those that address the special theme or are inter-disciplinary in
nature. Examples of relevant topics include:

- Search and mining algorithms for large-scale social networks
- Real-time social search and mining infrastructures
- Microblog (e.g., Twitter, QQ, Jaiku) search and mining
- Search across heterogeneous user generated content
- Content aggregation, summarization, and reasoning across multiple data
streams
- Personalized search for social interactions
- Credibility and provenance of social Web content
- Computational advertising for user generated content
- Cross-media search and mining of user generated content
- Collaborative filtering and recommender systems
- Community detection and network evolution analysis
- Sentiment analysis/opinion mining
- Social network analysis and social influence analysis
- Spam detection of social media
- Geospatial and temporal analysis of social media
- Applications of social search and mining
- Detecting and preventing false alarms in social media

* Important dates

Submission deadline: May 15th, 2011
Notification date: June 1st, 2011
Camera ready: June 14th, 2011
Workshop: July 28, 2011

* Content Guidelines

Papers should be no more than 10 pages total in length, where up to 8 pages
(including appendices, if any) are used for the content of the paper and the
final two pages are used only for references.

In addition to full length papers, we will also consider submissions of
short papers (position papers, late-breaking results, etc.) of up to 6 pages
in length, where up to 4 pages (including appendices, if any) are used for
the content of the paper and the final two pages are used only for
references.

All submissions must be prepared using the ACM camera‐ready template
(available at http://www.acm.org/sigs/pubs/proceed/template.html). Authors
are required to submit their papers electronically in PDF format.  Papers
should be submitted electronically at
https://cmt.research.microsoft.com/SWSM2011/. All submissions should clearly
present the author information including the names of the authors, the
affiliations and the emails.

* Organizing Committee

Fernando Diaz, Yahoo! Labs, USA
Eduard Hovy, University of California, USA
Irwin King, The Chinese University of Hong Kong, Hong Kong
Juanzi Li, Tsinghua University, China
Donald Metzler, University of Southern California, USA
Marie-Francine Moens, Katholieke Universiteit Leuven, Belgium
Jie Tang, Tsinghua University, China
Lei Zhang, Microsoft Research Asia, China

* Program Committee

Omar Alonso, Microsoft, USA
Roi Blanco, Yahoo!, Barcelona
Keke Cai, IBM China Research Lab, CN
Carlos Castillo, Yahoo! Labs, Spain
Hong Cheng, The Chinese University of Hong Kong, HK
Isaac Councill, Pennsylvania State University, US
Gregory Grefenstette, Exalead, France
Karl Gyllstrom, K.U. Leuven, Belgium
Kathy Mckeown, Columbia University, USA
Gabriella Pasi, University di Milano Bicocca, Italy
Ana-Maria Popescu, Yahoo! Labs, USA
Kunal Punera, Yahoo! Research, USA
Hema Raghavan, IBM Research, USA
Maarten de Rijke, University of Amsterdam, The Netherlands
Pavel Serdyukov, Yandex, Russia
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    <dc:date>2011-05-04T01:38:46</dc:date>
  </item>
  <item rdf:about="http://comments.gmane.org/gmane.comp.ai.loom/151">
    <title>CFP:7th International Conference on Advanced DataMining and Applications</title>
    <link>http://comments.gmane.org/gmane.comp.ai.loom/151</link>
    <description>&lt;pre&gt;Dear Colleagues:



==========================================

Call for Papers   ***Apologies for cross-posting***



The 7th International Conference on Advanced Data Mining and Applications

(ADMA 2011) 17-19 December 2011, Tsinghua University, Beijing, China

http://adma2011.arnetminer.org

---------------------------------------------------------------------



The 7th International Conference on Advanced Data Mining and Applications
(ADMA 2011)  aims at bringing together the experts on data mining from
around the world, and providing a leading international forum for the
dissemination of original research findings in data mining, spanning
applications, algorithms, software and systems, as well as different applied
disciplines with potential in data mining.



The proceedings of the conference will be published by Springer in its
Lecture Notes in Computer Science series, and indexed by EI. A selected
number of the accepted papers will be expanded and revised for possible
inclusion in Data &amp;amp; Knowledge Engineering (indexed by *SCI*). High-quality
papers that particularly address the intelligent systems issues will be
highly recommended for ACM Transactions on Intelligent Systems and
Technology (*ACM TIST*) publication in their extensions in rapid review and
publication.



We call for papers on any topics of advanced data mining and applications,
including but not limited to:



* Advanced Data Mining Topics

 - Social network mining

 - Social search and analysis

 - Collective intelligence in the social Web

 - Parallel and distributed data mining algorithms

 - Mining on data streams

 - Graph and subgraph mining

 - Methodologies on large-scale data mining

 - Text, video, multimedia data mining

 - Web mining

 - High performance data mining algorithms

 - Modeling complex social systems

 - Evolution of social communities and social media

 - Collaborative filtering in social networks

 - Data mining visualization

 - Security and privacy issues

 - Competitive analysis of mining algorithms

 - Data Mining Applications



* Social Network Applications

 - Scalable data preprocessing and cleaning techniques

 - Data mining systems in finance, sciences, retail, e-commerce

 - Emerging applications of large-scale data mining

 - Empirical study of data mining algorithms

 - Parallel data mining applications

 - DNA sequencing, bioinformatics, genomics, and biometrics

 - E-commerce and Web services

 - Medical informatics

 - Disaster prediction

 - Financial market analysis

 - Intelligent system

 - Application of data mining in education



Submissions and Important Dates

 - Submission Deadline:           July 7, 2011

 - Notification of Acceptance:      September 7, 2011

 - Camera Ready Submission Due:  September 23, 2011



Keynotes:

---------

 - Philip S. Yu, Department of Computer Science, University of Illinois
Chicago

 - Wolfgang Nejdl, Director of L3S Research Center, University of Hannover

 - Stefan Decker, National University of Ireland



Organizing Committee:

---------------------

General co-chairs:

 - Deyi Li, Chinese Academy of Engineering

 - Bing Liu, Department of Computer Science, University of Illinois at
Chicago

 - Charu C. Aggarwal, IBM T. J. Watson Research Center



PC co-chairs:

 - Jie Tang, Department of Computer Science, Tsinghua University

 - Jianyong Wang, Department of Computer Science, Tsinghua University

 - Irwin King, Department of Computer Science and Engineering, The Chinese
University of Hong Kong



Regional Organization co-chairs:

 - Ruoming Jin, Computer Science Department, Kent State University

 - Ee-Peng Lim, School of Information Systems, Singapore Management
University

 - Marie-Francine Moens, Department of Computer Science of K.U. Leuven

 - Jimeng Sun, IBM TJ Watson lab

 - Hwanjo Yu, Computer Science Department University of Iowa

 - Xingquan Zhu, University of Technology Sydney



General enquiries:

---------------------

  Zhichun Wang (Tsinghua U.)

  email: adma11thu&amp;lt; at &amp;gt;gmail.com

  fax: 86010-62794365

  website: http://adma2011.arnetminer.org/
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&lt;/pre&gt;</description>
    <dc:creator>Tony Wang</dc:creator>
    <dc:date>2011-04-16T00:20:05</dc:date>
  </item>
  <item rdf:about="http://comments.gmane.org/gmane.comp.ai.loom/141">
    <title>Call for Participation and Proposals - The MetadataCommittee of The International Semantic Web Conference (ISWC) 2010</title>
    <link>http://comments.gmane.org/gmane.comp.ai.loom/141</link>
    <description>&lt;pre&gt;*Call for Participation and Proposals*

The Metadata Committee of
The International Semantic Web Conference (ISWC) 2010
Nov 7th-11th, 2010. Shanghai, China

==Objectives==

In the past decade, the semantic web technologies have been matured,
and the amount of semantic data published on the Web has increased
dramatically.  The International Semantic Web Conference (ISWC), one
of the major events for the Semantic Web, has collected data about the
conference itself (e.g., papers, people and satellite events) since
2004. The data, along with data from several other Web-related
conferences such as ESWC and WWW, is publicly accessible from the
"Semantic Web Dog Food" (SWDF) server (http://data.semanticweb.org).

The International Semantic Web Conference 2010 plans to extend the
scope of the data it will collect about the event, and to encourage
the development of innovative applications that use the ISWC data as
well other linked data (including other SWDF data). The goal is to
demonstrate the value of semantic technologies, to explore novel
approaches in building semantic applications, and to better serve the
Semantic Web community by "eating our own dog food".

==How to Participate==

For this goal, ISWC 2010 establishes a Metadata Committee. Each member
of the committee will be responsible for a specific project that
contributes new data related to the conference or builds an
application consuming the ISWC data. To participate in the committee,
interested parties should submit a proposal for participation that
contains information about
* Type of the project (e.g., data contribution or application development)
* Topic (e.g., scope of the data or the functionality of the application)
* Brief description about the proposed approach
* Project schedule
* Participants and contact information

Interested parties should email the proposal to the Metadata Committee
Chair (Jie Bao, baojie&amp;lt; at &amp;gt;cs.rpi.edu) by the submission deadline.

During ISWC 2010, participants of the committee will report their work
at an "ISWC Metadata Demonstration Session" session. Successful
participants are expected to submit a paper after the conference
describing their projects. Selected papers will be published online at
CEUR proceedings.

==Topics of the Proposal==

Topics of the proposal include but are not limited to
* New forms of data related to ISWC (e.g., about submissions,
participants, schedule, on-site activities, etc.)
* Mashup ISWC data with Social Web data (e.g., from Facebook or Twitter)
* Visualization of ISWC data
* Applications to improve real-time interactive of conference participants.
* Better means for searching ISWC data
* Applying ISWC data to improve community building
* Discovering community-related knowledge from ISWC data

==Proposal Deadlines==

* Proposal due: June 7th, 2010
* Notification of acceptance: June 14th, 2010
* Presentation about the project: Nov 7th-11th, 2010 (TBD)
_______________________________________________
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&lt;/pre&gt;</description>
    <dc:creator>Jie Bao</dc:creator>
    <dc:date>2010-03-30T11:42:47</dc:date>
  </item>
  <item rdf:about="http://comments.gmane.org/gmane.comp.ai.loom/135">
    <title>2nd CFP - 4th Int. Workshop on Modular Ontologies(WoMO) - Submission deadline: Jan 29, 2010</title>
    <link>http://comments.gmane.org/gmane.comp.ai.loom/135</link>
    <description>&lt;pre&gt;=========================================================
    4th Int. Workshop on Modular Ontologies (WoMO)
             Toronto, Canada, May 11, 2010
           held in conjunction with FOIS 2010

              --- 2nd Call for Papers ---
          Submission deadline: January 29, 2010
=========================================================

http://www.informatik.uni-bremen.de/~okutz/womo4

INVITED SPEAKERS

Simon Colton, Imperial College London
Marco Schorlemmer, Artificial Intelligence Research Institute, Barcelona


MODULARITY, as studied for many years in software engineering, allows
mechanisms for easy and flexible reuse, generalization, structuring,
maintenance, design patterns, and comprehension. Applied to ontology
engineering, modularity is central not only to reduce the complexity
of understanding ontologies, but also to facilitate ontology
maintenance and ontology reasoning.

Recent research on ontology modularity shows substantial progress in
foundations of modularity, techniques of modularization and modular
development, distributed reasoning and empirical evaluation. These
results provide a foundation for further research and development.

The workshop follows a series of successful events that have been an
excellent venue for practitioners and researchers to discuss latest
work and current problems, and is this time organised as a satellite
workshop of FOIS 2010, as well as being co-located with several other
relevant events, namely KR, AAMAS, ICAPS, NMR, and DL.

TOPICS include, but are not limited to:

- What is Modularity: Kinds of modules and their properties; modules
vs. contexts; design patterns; granularity of representation;

- Logical/Foundational Studies: Conservativity; modular ontology
languages (e.g., DDL, E-Connections, P-DL); reconciling
inconsistencies across modules; formal structuring of modules;
heterogeneity;

- Algorithmic Approaches: distributed reasoning; modularization and
module extraction; (selective) sharing and re-using, linking and
importing; hiding and privacy; evaluation of modularization
approaches; complexity of reasoning; reasoners or implemented systems;

- Applications: Semantic Web; Life Sciences; Bio-Ontologies; Natural
Language Processing; ontologies of space and time; Ambient
Intelligence; collaborative ontology development; etc.

IMPORTANT DATES

Paper Submission: January 29, 2010
Notification:  March 1, 2010
Camera ready: March 11, 2010
Workshop day: May 11, 2010

SUBMISSION GUIDELINES:

The workshop welcomes submission of high quality original and
previously unpublished papers.

Contributions should not exceed 13 pages in length and must be
formatted according to IOS Press style (see
http://www.iospress.nl/authco/instruction_crc.html ).
Contributions should be prepared in PDF format and submitted not later
than January 29 2010 through the EasyChair Submission System (see
http://www.easychair.org/conferences/?conf=womo2010 ).

Submitted papers will be peer-reviewed by members of the program
committee. Accepted papers may be extended up to 16 pages and will be
published as chapters in an IOS Press book in the series 'Frontiers in
Artificial Intelligence and Applications'.

The authors of accepted papers are also welcome to submit
substantially extended versions to a planned special issue on
'Modularity in Ontologies' of the international journal 'Applied
Ontology' (IOS Press).

WORKSHOP CO-CHAIRS:

Oliver Kutz (Research Center on Spatial Cognition (SFB/TR 8), Bremen, Germany)
Joana Hois (Research Center on Spatial Cognition (SFB/TR 8), Bremen, Germany)
Jie Bao (Tetherless World Constellation &amp;amp; Department of Computer
Science, Rensselaer Polytechnic Institute, USA)
Bernardo Cuenca Grau (University of Oxford, UK)

PROGRAM COMMITTEE

Mathieu d'Aquin (Knowledge Media Institute, Open University of Milton
Keynes, UK)
Alex Borgida (Department of Computer Science, Rutgers University, USA)
Stefano Borgo (Laboratory for Applied Ontology, CNR, Trento, Italy)
Martin Dzbor (Knowledge Media Institute, Open University of Milton Keynes, UK)
Faezeh Ensan (Faculty of Computer Science, University of New Brunswick, Canada)
Fred Freitas (Universidade Federal de Pernambuco, Brazil)
Silvio Ghilardi (Department of Computer Science, University of Milan, Italy)
John Goodwin (Ordnance Survey, Southampton, UK)
Peter Haase (fluid Operations GmbH, Germany)
Heinrich Herre (Institute for Medical Informatics, Statistics and
Epidemiology, University of Leipzig, Germany)
Pascal Hitzler (Kno.e.sis Center, Wright State University, USA)
Vasant Honavar (Artificial Intelligence Research Laboratory, Iowa
State University, USA)
Roman Kontchakov (School of Computer Science and Information Systems,
Birkbeck College, London, UK)
Carsten Lutz (Department of Computer Science, University of Bremen, Germany)
Till Mossakowski (German Research Center for Artificial Intelligence,
Lab Bremen, Germany)
Alan Rector (University of Manchester, UK)
Anne Schlicht (KR &amp;amp; KM Research Group, University of Mannheim, Germany)
Thomas Schneider (School of Computer Science, University of Manchester, UK)
Luciano Serafini (Centro Per la Ricerca Scientifica e Tecnologica,
Trento, Italy)
Stefano Spaccapietra (School of Computer and Communication Sciences,
Lausanne, Switzerland)
Heiner Stuckenschmidt (KR &amp;amp; KM Research Group, University of Mannheim, Germany)
Andrei Tamilin (Fondazione Bruno Kessler - IRST, Italy)
Dirk Walther (Department of Computer Science, Universidad Politecnica
de Madrid, Spain)
Frank Wolter (Department of Computer Science, University of Liverpool, UK)
Michael Zakharyaschev (School of Computer Science and Information
Systems, Birkbeck College, London, UK)
Antoine Zimmermann (DERI, National University of Ireland, Galway, Ireland)
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&lt;/pre&gt;</description>
    <dc:creator>Jie Bao</dc:creator>
    <dc:date>2010-01-05T02:45:44</dc:date>
  </item>
  <item rdf:about="http://comments.gmane.org/gmane.comp.ai.loom/132">
    <title>Call for Papers - 4th Int. Workshop on ModularOntologies</title>
    <link>http://comments.gmane.org/gmane.comp.ai.loom/132</link>
    <description>&lt;pre&gt;( WE APOLOGIZE IF YOU RECEIVE MULTIPLE COPIES OF THIS MESSAGE )

=========================================================
    4th Int. Workshop on Modular Ontologies (WoMO)
             Toronto, Canada, May 11, 2010
    co-located with FOIS, KR, AAMAS, ICAPS, NMR, and DL
             --- 1st Call for Papers ---
=========================================================

http://www.informatik.uni-bremen.de/~okutz/womo4

MODULARITY, as studied for many years in software engineering, allows
mechanisms for easy and flexible reuse, generalization, structuring,
maintenance, design patterns, and comprehension. Applied to ontology
engineering, modularity is central not only to reduce the complexity
of understanding ontologies, but also to facilitate ontology
maintenance and ontology reasoning.

Recent research on ontology modularity shows substantial progress in
foundations of modularity, techniques of modularization and modular
development, distributed reasoning and empirical evaluation. These
results provide a foundation for further research and development.

The workshop follows a series of successful events that have been an
excellent venue for practitioners and researchers to discuss latest
work and current problems, and is this time organised as a satellite
workshop of FOIS 2010, as well as being co-located with several other
relevant events, namely KR, AAMAS, ICAPS, NMR, and DL.

TOPICS include, but are not limited to:

- What is Modularity: Kinds of modules and their properties; modules
vs. contexts; design patterns; granularity of representation;

- Logical/Foundational Studies: Conservativity; modular ontology
languages (e.g., DDL, E-Connections, P-DL); reconciling
inconsistencies across modules; formal structuring of modules;
heterogeneity;

- Algorithmic Approaches: distributed reasoning; modularization and
module extraction; (selective) sharing and re-using, linking and
importing; hiding and privacy; evaluation of modularization
approaches; complexity of reasoning; reasoners or implemented systems;

- Applications: Semantic Web; Life Sciences; Bio-Ontologies; Natural
Language Processing; ontologies of space and time; Ambient
Intelligence; collaborative ontology development; etc.

IMPORTANT DATES

Paper Submission: January 29, 2010
Notification:  March 1, 2010
Camera ready: March 11, 2010
Workshop day: May 11, 2010

SUBMISSION GUIDELINES:

The workshop welcomes submission of high quality original and
previously unpublished papers.

Contributions should not exceed 13 pages in length and must be
formatted according to IOS Press style (see
http://www.iospress.nl/authco/instruction_crc.html ).
Contributions should be prepared in PDF format and submitted not later
than January 29 2010 through the EasyChair Submission System (see
http://www.informatik.uni-bremen.de/~okutz/womo4 ).

Submitted papers will be peer-reviewed by members of the program
committee. Accepted papers may be extended up to 16 pages and will be
published as chapters in an IOS Press book in the series 'Frontiers in
Artificial Intelligence and Applications'.

The authors of accepted papers are also welcome to submit
substantially extended versions to a planned special issue on
'Modularity in Ontologies' of the international journal 'Applied
Ontology' (IOS Press).

WORKSHOP CO-CHAIRS:

Oliver Kutz (Research Center on Spatial Cognition (SFB/TR 8), Bremen, Germany)
Joana Hois (Research Center on Spatial Cognition (SFB/TR 8), Bremen, Germany)
Jie Bao (Tetherless World Constellation &amp;amp; Department of Computer
Science, Rensselaer Polytechnic Institute, USA)
Bernardo Cuenca Grau (University of Oxford, UK)

PROGRAM COMMITTEE

Mathieu d'Aquin (Knowledge Media Institute, Open University of Milton
Keynes, UK)
Alex Borgida (Department of Computer Science, Rutgers University, USA)
Stefano Borgo (Laboratory for Applied Ontology, CNR, Trento, Italy)
Martin Dzbor (Knowledge Media Institute, Open University of Milton Keynes, UK)
Fred Freitas (Universidade Federal de Pernambuco, Caixa Postal, Brazil)
Silvio Ghilardi (Department of Computer Science, University of Milan, Italy)
John Goodwin (Ordnance Survey, Southampton, UK)
Peter Haase (fluid Operations GmbH, Germany)
Heinrich Herre (Institute for Medical Informatics, Statistics and
Epidemiology, University of Leipzig, Germany)
Pascal Hitzler (Kno.e.sis Center, Wright State University, USA)
Vasant Honovar (Artificial Intelligence Research Laboratory, Iowa
State University, USA)
Roman Kontchakov (School of Computer Science and Information Systems,
Birkbeck College, London, UK)
Carsten Lutz (Department of Computer Science, University of Bremen, Germany)
Till Mossakowski (German Research Center for Artificial Intelligence,
Lab Bremen, Germany)
Alan Rector (University of Manchester, UK)
Anne Schlicht (KR &amp;amp; KM Research Group, University of Mannheim, Germany)
Thomas Schneider (Department of Computer Science, University of Manchester, UK)
Luciano Serafini (Centro Per la Ricerca Scientifica e Tecnologica,
Trento, Italy)
Stefano Spaccapietra (School of Computer and Communication Sciences,
Lausanne, Switzerland)
Heiner Stuckenschmidt (KR &amp;amp; KM Research Group, University of Mannheim, Germany)
Andrei Tamilin (Fondazione Bruno Kessler - IRST, Italy)
Dirk Walther (Department of Computer Science, Universidad Politecnica
de Madrid, Spain)
Frank Wolter (Department of Computer Science, University of Liverpool, UK)
Michael Zakharyaschev (School of Computer Science and Information
Systems, Birkbeck College, London, UK)
Antoine Zimmermann (DERI, National University of Ireland, Galway, Ireland)
_______________________________________________
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&lt;/pre&gt;</description>
    <dc:creator>Jie Bao</dc:creator>
    <dc:date>2009-10-11T17:44:50</dc:date>
  </item>
  <item rdf:about="http://comments.gmane.org/gmane.comp.ai.loom/131">
    <title>Final CFP: Australasian Ontology Workshop (AOW 2009): Papers due 25 September 2009</title>
    <link>http://comments.gmane.org/gmane.comp.ai.loom/131</link>
    <description>&lt;pre&gt;
               5th Australasian Ontology Workshop (AOW 2009)
                                1 December 2009
                         Held in Conjunction with the
 22nd Australian Joint Conference on Artificial Intelligence (AI'09)
            University of Melbourne, Melbourne, Australia
                     http://ksg.meraka.org.za/~aow2009

AOW 2009 is the fifth in a series of workshops on ontologies held
in the Australasian region.

The primary aim of the workshop is to bring together active researchers in
the broad area of ontologies. Topics of interest include, but are not
limited  to:

- Ontology models and theories
- Ontologies and the Semantic Web
- Interoperability in ontologies
- Ontologies and Multi-agent systems
- Description logics for ontologies
- Reasoning with ontologies
- Ontology harvesting on the web
- Ontology of agents and actions
- Ontology visualisation
- Ontology engineering and management
- Ontology-based information extraction  and retrieval
- Ontology merging, alignment and integration
- Web ontology languages
- Formal concept analysis and ontologies
- Ontologies for e-research
- Linking open data
- Significant ontology applications

The proceedings of the four previous workshops were published as
volumes in the Conferences in Research and Practice in
Information Technology (CRPIT) series (http://crpit.com/), and this
will again be the case for AOW 2009. As with the previous
workshops, we are investigating the possibility of extended versions
of  selected papers appearing in a special issue of a suitable journal.

Submission information such as format etc. can be found on the
CRPIT website: http://crpit.com/AuthorsSubmitting.html. The page
limit is 10 pages.

Important Dates:
Paper submission deadline: 25 September 2009
Notification of acceptance/rejection: 23 October 2009
Camera-ready copies due: 13 November 2009
AOW 2009: 1 December 2009

Papers must be submitted via the EasyChair system at

  http://www.easychair.org/conferences/?conf=aow2009

This year AOW 2009 will have a best paper award, with a prize
of $250(AUD) being awarded to the author(s) of the best paper.


Workshop Chairs:
Thomas Meyer
Meraka Institute, South Africa
tommie.meyer&amp;lt; at &amp;gt;meraka.org.za

Kerry Taylor
CSIRO ICT Centre
Kerry.Taylor&amp;lt; at &amp;gt;csiro.au


Program Committee:
Franz Baader (TU Dresden, Germany)
Richard Booth (Mahasarakham University, Thailand)
Arina Britz (Meraka Institute, South Africa)
Werner Ceusters (SUNY Buffalo, USA)
Michael Compton (CSIRO, Australia)
Oscar Corcho (Universidad Politecnica de Madrid, Spain)
R. Cenk Erdur (Ege University, Turkey)
Aurona Gerber (Meraka Institute, South Africa)
Dennis Hooijmaijers (University of South Australia, Australia)
Bo Hu (SAP Research, UK)
Renato Iannella (NICTA, Australia)
Ken Kaneiwa (NICT, Japan)
Marijke Keet (Free University of Bolzano, Italy)
Kevin Lee (NICTA and UNSW, Australia)
Laurent Lefort (CSIRO, Australia)
Costas Mantratzis (University of Westminster, UK)
Lars Moench (University of Hagen, Germany)
Deshendran Moodley (University of KwaZulu Natal, South Africa)
Mehmet Orgun (Macquarie University, Australia)
Maurice Pagnucco (UNSW, Australia)
Debbie Richards (Macquarie University, Australia)
Rolf Schwitter (Macquarie University, Australia)
Murat Sensoy (Bogazici University, Turkey)
Barry Smith (SUNY Buffalo, USA)
Markus Stumptner (University of South Australia, Australia)
Boontawee Suntisrivaraporn (Thammasat University, Thailand)
Sergio Tessaris (Free University of Bolzano, Italy)
Nwe Ni Tun (National University of Singapore, Singapore)
Ivan Varzinczak (Meraka Institute, South Africa)
Kewen Wang (Griffith University, Australia)
Antoine Zimmermann (DERI, Ireland)

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&lt;/pre&gt;</description>
    <dc:creator>Kerry.Taylor&lt; at &gt;csiro.au</dc:creator>
    <dc:date>2009-09-18T00:46:09</dc:date>
  </item>
  <item rdf:about="http://comments.gmane.org/gmane.comp.ai.loom/129">
    <title>Call for Tutorials - Fourth Asian Semantic WebConference (ASWC 2009)</title>
    <link>http://comments.gmane.org/gmane.comp.ai.loom/129</link>
    <description>&lt;pre&gt;( WE APOLOGIZE IF YOU RECEIVE MULTIPLE COPIES OF THIS MESSAGE )

Call for Tutorials

Fourth Asian Semantic Web Conference (ASWC 2009)

6-9 December, 2009

Shanghai, China

http://www.aswc2009.org/


The 4th Asian Semantic Web Conference (ASWC 2009) will present the
latest research and development of the Semantic Web and

its related technologies. It will bring together researchers in
relevant disciplines such as artificial intelligence,

knowledge modeling, logic, databases, social networks, Web services,
distributed computing, Web engineering, information

systems, natural language processing, multimedia, and human-computer
interaction.

In addition to the regular research track, ASWC 2009 invites tutorials
on relevant topics of interest. A tutorial should

present the state of the art of a Semantic Web area and address the
interests of a broad audience that includes (but not

limited to) Semantic Web beginners, representatives of funding
agencies, practitioners form the industrial community, and

Semantic Web researchers. It may provide an introduction to
technologies in Semantic Web or highly relevant areas (e.g.,

Artificial Intelligence, Database and Information Retrieval), the
application of Semantic Web in a specific domain, or other

current issues and trends in appropriate depth.

==Submission==

Tutorial proposals should not exceed 5 pages in LNCS format and
contain the following information
* Type: full day or half day.
* Abstract: 200 words maximum, which will be published at the ASWC website.
* Justification: Relevance to the conference and relations to similar
tutorials presented at other events.
* Description: goals, targeted audience with prerequisite knowledge,
presentation method, software will be used, and hands-on

session planning (if there will be one; such a session is encouraged).
* Outline and schedule
* Equipment requirements
* Information of the presenters: names, affiliation, contact,
homepage, expertise and teaching experiences.

The proposal should be submitted as a pdf file using the ASWC 2009
submission system on easychair (Please select the Tutorial

Track):

https://www.easychair.org/login.cgi?conf=aswc2009

Submitted proposals will be reviewed by the ASWC 2009 organizing
committee based on its relevance to the conference, content

and presentation method, and presenters’ expertise.

==Tutorial Organizer's Responsibilities==

For accepted tutorials, the organizers should
* Maintain a website that describes the tutorial, and provides
relevant resources, e.g., slides, software and additional

references. The website URL should be ready to review by the ASWC
Tutorial Chair by 5th Nov 2009.
* At the conference, handle the distribution of tutorial materials,
except for the hard copies of the tutorial handouts which

will be printed by ASWC. If software is required for participants for
hands-on sessions, please make sure to have accessible

media (e.g., CDs or USB sticks) for participants to install.

==Important Dates==

* 15 Sept 2009: Proposal submission due (Extended)
* 22 Sept 2009: Notification of proposal acceptance
* 5 Nov 2009: Website URL and tutorial handouts, PDF preferred) to
tutorial chair

==Tutorial Chair==

Jie Bao - Rensselaer Polytechnic Institute, USA, baojie AT cs.rpi.edu

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&lt;/pre&gt;</description>
    <dc:creator>Jie Bao</dc:creator>
    <dc:date>2009-09-09T16:43:10</dc:date>
  </item>
  <item rdf:about="http://comments.gmane.org/gmane.comp.ai.loom/127">
    <title>Call for Workshops, Tutorials, Posters,and Demos - Fourth Asian Semantic Web Conference (ASWC 2009)</title>
    <link>http://comments.gmane.org/gmane.comp.ai.loom/127</link>
    <description>&lt;pre&gt;( WE APOLOGIZE IF YOU RECEIVE MULTIPLE COPIES OF THIS MESSAGE )

Call for Workshops, Tutorials, Posters, and Demos

Fourth Asian Semantic Web Conference (ASWC 2009)

6-9 December, 2009

Shanghai, China

http://www.aswc2009.org/

The Asian Semantic Web Conference is the yearly conference on
theoretical foundations, technological building blocks and practical
applications of semantic technologies on the Asian continent. Targeted
at both academia and industry, the conference will present the latest
research and development of the Semantic Web and its related
technologies. It will bring together researchers in relevant
disciplines such as artificial intelligence, knowledge modeling,
logic, databases, social networks, Web services, distributed
computing, Web engineering, information systems, natural language
processing, multimedia, and human-computer interaction.

Besides presenting papers including latest research in the Semantic
Web area, this year the conference will also include workshops,
tutorials and a poster and demo session.

For these three events, we welcome submissions that are aligned with
the topics of the conference
(http://www.aswc2009.org/research-paper-track).

Further details about the calls for workshops, tutorials, posters, and
demos can be found in the conference web page:

* ASWC2009 Call for Workshops
(http://www.aswc2009.org/research-paper-track/callworkshops)
* ASWC2009 Call for Tutorials
(http://www.aswc2009.org/research-paper-track/calltutorials)
* ASWC2009 Call for Posters and Demos
(http://www.aswc2009.org/research-paper-track/callpostersdemos)

===Important dates===

'Workshop Track
* Proposal due: 27 Aug 2009
* Notification : 3 Sept 2009
* The important dates for accepted workshops are:
   ** Paper Submissions: 3 Oct 2009
   ** Paper Notification: 15 Oct 2009
   ** Paper Camera-ready: 22 Oct 2009
   ** Workshop days: 6-7 Dec 2009

Tutorial Track

* 10 Sept 2009:  Proposal submission
* 17 Sept 2009: Notification
* 5 Nov 2009: Tutorial notes (handouts) to tutorial chair
* Tutorial days: 6-7 Dec 2009

Poster and Demo Track

* Poster and demo submission: 17 Sept 2009
* Notification of acceptance: 1 Oct 2009
* Camera-ready version: 15 Oct 2009
   ** Poster and Demo days: 8-9 Dec 2009

===Contacts===

* ASWC2009 Workshop Chair: Hong-Gee Kim, Seoul National University,
Korea (hgkim&amp;lt; at &amp;gt;snu.ac.kr)
* ASWC2009 Tutorial Chair: Jie Bao, Rensselaer Polytechnic Institute,
USA (baojie&amp;lt; at &amp;gt;cs.rpi.edu)
* ASWC2009 Poster and Demo Chair: Raúl García-Castro, Universidad
Politecnica de Madrid, Spain (rgarcia&amp;lt; at &amp;gt;fi.upm.es)

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&lt;/pre&gt;</description>
    <dc:creator>Jie Bao</dc:creator>
    <dc:date>2009-08-17T09:18:22</dc:date>
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