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                            CALL FOR PAPERS

                International ICDM Workshop on Data Mining 
                     in Web 2.0 Environments (Web2DM)    

   	        https://www.kde.cs.uni-kassel.de/ws/Web2DM


             held in conjunction with the IEEE International 
                 Conference on Data Mining (ICDM 2007)
               on October 28, 2007 in Omaha, United States.

                              
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Topics of interest:

Users feel very attracted by currently emerging Web 2.0 environments, 
that allow to provide content in a simple, unrestricted, and ad hoc way. 
Providing annotations (such as tags) in a Web 2.0 like way is applicable 
to a wide range of resources and data types, such as web pages, images, 
multimedia, etc. There is, however, a disadvantage: the freedom to 
provide arbitrary (personal) content and tags in ubiquitous, 
uncoordinated ways results in very large amounts of poorly structured 
information. Behind the current hype around Web 2.0 applications, this 
raises several important challenges for future data and web mining 
methods.

The workshop aims to bring together researchers and professionals in the 
areas of data and web mining, information systems and collaborative 
systems to discuss challenges and solutions of applying data mining to 
highly unstructured, user created data. Such challenges include the 
analysis of loosely-coupled snippets of information, such as overlapping 
tag structures, homonym or synonym tags, blog networks etc. Other 
challenges arise from scalability issues or new forms of fraud and spam. 
They demand, for instance, innovative methods of tag clustering,
filtering, aggregation, personalization and visualization.

As an outcome of the workshop, we expect a better understanding of 
methods which can be successfully applied to Web 2.0 applications and 
open challenges yet to be solved.

Topics of interest include but are not limited to: 

- analysis of blogs
- tag clustering and visualization
- synonym and homonym resolution in tags
- visual and textual information extraction 
- temporal analysis
- data streams, trend detection, and concept drift
- application of web and text mining to wiki content
- discovering social structures and communities
- evolution of online social networks
- predicting user behavior
- analysis of dynamic networks
- discovering misuse and fraud
- combining the web with data from other sources, mining with mashups
- deriving profiles from usage
- personalized delivery of information
- applications, case studies

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Important Dates & Submission

- June 22, 2007: Due date for full workshop papers
- August 1, 2007: Notification of paper acceptance to authors
- August 17, 2007: Camera-ready of accepted papers
- October 28, 2007: Workshop day

Paper submissions should be limited to a maximum of 6 pages in the IEEE 
2-column format, the same as the camera-ready format (see the IEEE Computer 
Society Press Proceedings Author Guidelines). All papers will be reviewed 
by at least 2 program committee members for their technical merit, 
originality, significance, and relevance to the workshop. The papers must 
be in English and should be formatted according to the IEEE CS press 
guidelines. Accepted papers will be published in the proceedings by the 
IEEE Computer Society Press.
Details on the submission procedure can be found at the Workshop Website:

       https://www.kde.cs.uni-kassel.de/ws/Web2DM/#submission

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Chairs:

Michael Wurst, University of Dortmund, Artificial Intelligence Group
Andreas Hotho, University of Kassel, Knowledge Engineering Group
Ravi Kumar, Yahoo! Research

Program Committee:

 * Lada Adamic, University of Michigan
 * Bettina Berendt, Humboldt-University Berlin
 * Fabio Ciravegna, University of Sheffield
 * Martin Ester, Simon Fraser University Vancouver
 * Ronen Feldman, ClearForest Corp.
 * Dimitrios Gunopulos, University of California Riverside
 * Marko Grobelnik, J. Stefan Institute Ljubljana
 * Thomas Hofmann, Google
 * Hillol Kargupta, UMBC Maryland
 * Nick Koudas, University of Toronto
 * Ernestina Menasalvas, Polytechnical University of Madrid
 * Srujana Merugu, Yahoo! Research
 * Dunja Mladenic, J. Stefan Institute Ljubljana
 * Katharina Morik, University of Dortmund
 * Srinivasan Parthasarathy, Ohio State University
 * Maarten van Someren, University of Amsterdam
 * D. Sivakumar, Google
 * Gerd Stumme, University of Kassel
 * Panayiotis Tsaparas, Microsoft