Tony Wang | 4 Jul 03:21
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International Workshop on Computational Aspects of Social and Information Networks (CASIN ‘2011)

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

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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Tony Wang | 3 Jul 11:57
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ICDM 2011 Data Mining Contest

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

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Tony Wang | 22 Jun 02:27
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ADMA2011:The 7th International Conference on Advanced Data Mining and Applications

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 & 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 <at> gmail.com
 fax: 86010-62794365
 website: http://adma2011.arnetminer.org/
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Tony Wang | 6 Jun 10:23
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ICDM '11: The 11th IEEE International Conference on Data Mining

/* 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 <at> gmail.com
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Tony Wang | 3 Jun 04:11
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DMCS 2011:Fourth Workshop on Data Mining Case Studies and Success Stories and Fourth Data Mining Practice Prize

Fourth Workshop on Data Mining Case Studies and Success Stories 
and Fourth Data Mining Practice Prize
(DMCS 2011)
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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
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Call For Papers
---------------------------------------------------------------


Motivation:

From its inception the field of data mining has been guided by the need to 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 <at> 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
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Tony Wang | 17 May 03:42
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ICDM '11: The 11th IEEE International Conference on Data Mining

/* 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

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
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
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
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
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. 

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

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
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 <at> gmail.com

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Tony Wang | 12 May 05:54
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CFP:Third Workshop on Large-scale Data Mining: Theory and Applications

 ********************************************************************************
                                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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Tony Wang | 4 May 03:38
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Deadline EXTENDED: SIGIR 2011 Workshop on Social Web Search and Mining (SWSM 2011)

*** 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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Tony Wang | 16 Apr 02:20
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CFP:7th International Conference on Advanced Data Mining and Applications

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 & 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 <at> gmail.com

  fax: 86010-62794365

  website: http://adma2011.arnetminer.org/

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Jie Bao | 30 Mar 13:42
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Call for Participation and Proposals - The Metadata Committee of The International Semantic Web Conference (ISWC) 2010

*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 <at> 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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Jie Bao | 5 Jan 03:45
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2nd CFP - 4th Int. Workshop on Modular Ontologies (WoMO) - Submission deadline: Jan 29, 2010

=========================================================
    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 & 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 & 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 & 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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