-------- Original-Nachricht -------- Betreff: [WI] Final CFP: WebKDD 08 - Web Mining and Web Usage Analysis (deadline May 23) Datum: Mon, 19 May 2008 21:52:19 +0200 (CEST) Von: myra@iti.cs.uni-magdeburg.de An: wi@aifb.uni-karlsruhe.de
Apologies for multiple postings ====================================================================== WEBKDD'08 - 10 Years of Knowledge Discovery on the Web August 24, 2008
CALL FOR PAPERS
URL: http://webmining.spd.louisville.edu/webkdd08/
At the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2008) August 24-27, 2008, Las Vegas, USA
====================================================================== Submission deadline extended by 7 days.
Important dates =============== o May 23, 2008: Submission of full papers (new date) o June 13, 2008: Author notification o June 20, 2008: Submission of Camera-ready papers (hard deadline) o August 24, 2008: Workshop at ACM SIGKDD, Las Vegas, USA
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Yahoo! Best Paper Award for Web Mining: Through a peer-review process that includes the workshop organizing and program committees, a best paper will be selected based technical quality, innovativeness, and contribution to the field. The authors of the best paper will receive a $500 USD prize supported by Yahoo! Research.
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The Web presents a key driving force for a large spectrum of applications in which a user interacts with a company, a governmental authority, a non-governmental organization or other non-profit institution or other users. User preferences and expectations, together with usage patterns, form the basis for personalized, user-friendly and optimal services. Key metrics enabled by proper data capture and processing are essential to run an effective business or service. Enabling technologies include data mining, scalable warehousing and preprocessing, sequence discovery, real time processing, document classification, user modeling and quality evaluation models for them. Recipient technologies that demand for user profiling and usage patterns include recommendation systems, Web analytics applications, application servers coupled with content management systems and fraud detectors.
Research advances associated with knowledge discovery on the Web observe the Web as a social medium for exchange and cooperation, as a semantic network where people find information and contribute information (by means of documents, annotations and comments) and as a place for doing business, launching business and promoting business.
WEBKDD 2008 will bring together researchers and practitioners on these aspects of the Web. The emphasis is on lessons learned, recent advances and open issues for the next decade.
WEBKDD 2008 will be the 10th anniversary workshop on knowledge discovery on the Web, taking place at the KDD since 1999. WebKDD presentations have historically been of high quality and influence, and workshops have in the past attracted not only audience from academia, but also a significant audience from industry and government agencies. Altogether, the papers at the past WEBKDD workshops have accumulated about 940 citations, including 7 patent citations that cite the workshop as the premier reference on the topic of Web usage analysis. (The citations are from Google Scholar, accessed between Feb. 10 and Feb. 12, 2008.)
In WEBKDD 2008, we anticipate a wrap-up and lessons-learned from 10 years of research on mining the Web, the Semantic Web(s) and the social Web and a research agenda for the years to come.
Workshop Topics ===============
The WEBKDD 2008 workshop will invite contributions on mining of all aspects of users' activities in the Web, in particular:
- Mining server log (clickstream) data - Web analytics - Web content and structure mining - Modeling users and their interaction with the Web - Mining query log data and web search result mining - Mining users' activities in social venues, ranging from chat fora with emphasis on interaction, to recommendation networks with emphasis on spread of influence - Mining users' activities in venues that foster the capturing of data semantics, e.g. for building the Semantic Web or for the building of folksonomies - web community mining and social network analysis - Enabling technologies for Web mining, including technologies for Web warehousing, data preparation, management of multi-relational data and streams, visualization, and evaluation - Application areas, including recommendation engines, Web communities, Web marketplaces, Web search, Web security and misuse and abuse of the Web and its services.
Paper Submission ================ All submissions must be made electronically following the submission information on the Workshop Web site: http://webmining.spd.louisville.edu/webkdd08/
Please use the prescribed formatting guidelines of Springer LNCS which can be found at: http://www.springer.com/computer/lncs?SGWID=0-164-7-72376-0
Papers should be no longer than 12 pages (or 5,000 words) inclusive of all references and figures. All papers must be submitted in either PDF (preferred) or postscript. Please ensure that any special fonts used are included in the submitted documents. All papers must be original, and have not been published elsewhere. Exceptionally, paper submitted to KDD 2008 can also be submitted to WebKDD2008 but must be withdrawn if accepted at KDD 2008.
The workshop proceedings will be published in the Springer-Verlag Lecture Note Series (LNCS) with the title "Advances in Web Mining and Web Usage Analysis" (under negotiation). It will be distributed during the workshop.
Authors of accepted papers will be invited to submit an extended version of their papers to the Journal Data Mining and Knowledge Discovery for a special issue that serve as a wrap up of the most recent developments in Web Mining (under negotiation).
Organizing Committee of WebKDD'08: ================================================================
Bamshad Mobasher, DePaul University, USA Olfa Nasraoui, University of Louisville, USA Myra Spiliopoulou, Otto-von-Guericke-University Magdeburg, Germany Jaideep Srivastava, University of Minnesota, USA Osmar R. Zaiane, University of Alberta, Canada
Program Committee of WebKDD'08: ================================================================ T.B.A.