Lecture Notes in Artificial Intelligence

Advances in Web Mining and Web Usage Analysis

8th International Workshop on Knowledge Discovery on the Web, WebKDD 2006 Philadelphia, USA, August 20, 2006 Revised Papers

Editors: Nasraoui, O., Spiliopoulou, M., Srivastava, J., Mobasher, B., Masand, B. (Eds.)

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About this book

This book contains the postworkshop proceedings with selected revised papers from the 8th international workshop on knowledge discovery from the Web, WEBKDD 2006. The WEBKDD workshop series has taken place as part of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) since 1999. The discipline of data mining delivers methodologies and tools for the an- ysis of large data volumes and the extraction of comprehensible and non-trivial insights from them. Web mining, a much younger discipline, concentrates on the analysisofdata pertinentto the Web.Web mining methods areappliedonusage data and Web site content; they strive to improve our understanding of how the Web is used, to enhance usability and to promote mutual satisfaction between e-business venues and their potential customers. Inthelastfewyears,theinterestfortheWebasamediumforcommunication, interaction and business has led to new challenges and to intensive, dedicated research.Many ofthe infancy problems in Web mining have been solvedby now, but the tremendous potential for new and improved uses, as well as misuses, of the Web are leading to new challenges. ThethemeoftheWebKDD2006workshopwas“KnowledgeDiscoveryonthe Web”, encompassing lessons learned over the past few years and new challenges for the years to come. While some of the infancy problems of Web analysis have beensolvedandproposedmethodologieshavereachedmaturity,therealityposes newchallenges:TheWebisevolvingconstantly;siteschangeanduserpreferences drift. And, most of all, a Web site is more than a see-and-click medium; it is a venue where a user interacts with a site owner or with other users, where group behavior is exhibited, communities are formed and experiences are shared.

Table of contents (13 chapters)

  • Adaptive Website Design Using Caching Algorithms

    Brickell, Justin (et al.)

    Pages 1-20

  • Incorporating Usage Information into Average-Clicks Algorithm

    Beemanapalli, Kalyan (et al.)

    Pages 21-35

  • Nearest-Biclusters Collaborative Filtering with Constant Values

    Symeonidis, Panagiotis (et al.)

    Pages 36-55

  • Fast Categorization of Web Documents Represented by Graphs

    Markov, Alex (et al.)

    Pages 56-71

  • Leveraging Structural Knowledge for Hierarchically-Informed Keyword Weight Propagation in the Web

    Kim, Jong Wook (et al.)

    Pages 72-91

Buy this book

eBook $69.99
price for USA (gross)
  • ISBN 978-3-540-77485-3
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $99.00
price for USA
  • ISBN 978-3-540-77484-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Advances in Web Mining and Web Usage Analysis
Book Subtitle
8th International Workshop on Knowledge Discovery on the Web, WebKDD 2006 Philadelphia, USA, August 20, 2006 Revised Papers
Editors
  • Olfa Nasraoui
  • Myra Spiliopoulou
  • Jaideep Srivastava
  • Bamshad Mobasher
  • Brij Masand
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
4811
Copyright
2007
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-77485-3
DOI
10.1007/978-3-540-77485-3
Softcover ISBN
978-3-540-77484-6
Edition Number
1
Number of Pages
XII, 252
Topics