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Advances in Web Mining and Web Usage Analysis

9th International Workshop on Knowledge Discovery on the Web, WebKDD 2007, and 1st International Workshop on Social Networks Analysis, SNA-KDD 2007, San Jose, CA, USA, August 12-15, 2007, Revised Papers

  • Conference proceedings
  • © 2009

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5439)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: SNAKDD 2007.

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Table of contents (8 papers)

Other volumes

  1. Advances in Web Mining and Web Usage Analysis

Keywords

About this book

Thisyear’svolumeofAdvancesinWebMiningandWebUsageAnalysiscontains thepostworkshopproceedingsofajointevent,the9thInternationalWorkshopon Knowledge Discovery from the Web (WEBKDD 2007) and the First SNA-KDD Workshop on Social Network Analysis (SNA-KDD 2007). The joint workshop on Web Mining and Social Network Analysis took place at the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). It attracted 23 submissions, of which 14 were accepted for presentation at the workshop. Eight of them have been extended for inclusion in this volume. WEBKDD is one of the most traditional workshops of the ACM SIGKDD internationalconference, under the auspices of which it has been organizedsince 1999. The strong interest for knowledge discovery in the Web, fostered not least by WEBKDD itself, has led to solutions for many problems in the Web’s p- mature era. In the meanwhile, the Web has stepped into a new era, where it is experienced as a social medium, fostering interaction among people, enabling and promoting the sharing of knowledge, experiences and applications, char- terized by group activities, community formation, and evolution. The design of Web 2. 0 re?ects the socialcharacterof the Web, bringing new potential and new challenges. The 9th WEBKDD was devoted to the challenges and opportunities of mining for the social Web and promptly gave rise to the joint event with the First Workshop on Social Network Analysis (SNA-KDD). Social network research has advanced signi?cantly in the last few years, strongly motivated by the prevalence of online social websites and a variety of large-scale o?ine social network systems.

Editors and Affiliations

  • One Microsoft Way, Redmond, USA

    Haizheng Zhang

  • Faculty of Computer Science, Otto von Guericke University Magdeburg, Magdeburg, Germany

    Myra Spiliopoulou

  • School of Computing Science, Telecommunications Information Systems, DePaul University, Chicago, USA

    Bamshad Mobasher

  • College of Information Science and Technology, Pennsylvania State University, University Park, USA

    C. Lee Giles

  • Department of Computer Science, University of Massachusetts, Amherst, USA

    Andrew McCallum

  • Computer Engineering and Computer Science Department, University of Louisville, Louisville, USA

    Olfa Nasraoui

  • Department of Computer Science and Engineering, University of Minnesota, Minneapolis, USA

    Jaideep Srivastava

  • College of Information Sciences and Technology, The Pennsylvania State University, Unversity Park, USA

    John Yen

Bibliographic Information

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