Workshop on Data Mining in Web 2.0 Environments

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. 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

International Workshop on Data Mining in Web 2.0 Environments 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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