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Web Usage Analysis and User Profiling

International WEBKDD'99 Workshop San Diego, CA, USA, August 15, 1999 Revised Papers

  • Conference proceedings
  • © 2000

Overview

Editors:
  1. Brij Masand

    1. Discovery and Intelligent Agents Technology, Redwood Investment Systems Inc., Boston, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Myra Spiliopoulou

    1. Institut für Wirtschaftsinformatik, Humboldt Universität zu Berlin, Berlin, Germany

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    You can also search for this editor in PubMed   Google Scholar

  • This book is the first one entirely devoted to Web usage mining
  • Includes supplementary material: sn.pub/extras

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1836)

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

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Table of contents (10 papers)

  1. Front Matter

    Pages I-6
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  2. Modelling the Users

    1. Inferring Demographic Attributes of Anonymous Internet Users

      • Dan Murray, Kevan Durrell
      Pages 7-20

    2. A Generalization-Based Approach to Clustering of Web Usage Sessions

      • Yongjian Fu, Kanwalpreet Sandhu, Ming-Yi Shih
      Pages 21-38

    3. Constructing Web User Profiles: A Non-invasive Learning Approach

      • Philip K. Chan
      Pages 39-55

    4. Data Mining the Internet and Privacy

      • Alan J. Broder
      Pages 56-73

  3. Discovering Rules and Patterns of Navigation

    1. User-Driven Navigation Pattern Discovery from Internet Data

      • Matthias Baumgarten, Alex G. Büchner, Sarabjot S. Anand, Maurice D. Mulvenna, John G. Hughes
      Pages 74-91

    2. Data Mining of User Navigation Patterns

      • José Borges, Mark Levene
      Pages 92-112

    3. Making Web Servers Pushier

      • Bin Lan, Stéphane Bressan, Beng Chin Ooi, Y. C. Tay
      Pages 112-125

  4. Measuring Interestingness in Web Usage Mining

    1. Analysis and Visualization of Metrics for Online Merchandising

      • Juhnyoung Lee, Mark Podlaseck, Edith Schonberg, Robert Hoch, Stephen Gomory
      Pages 126-141

    2. Improving the Effectiveness of a Web Site with Web Usage Mining

      • Myra Spiliopoulou, Carsten Pohle, Lukas C. Faulstich
      Pages 142-162

    3. Discovery of Interesting Usage Patterns from Web Data

      • Robert Cooley, Pang-Ning Tan, Jaideep Srivastava
      Pages 163-182

  5. Back Matter

    Pages 183-183
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Keywords

About this book

After the advent of data mining and its successful application on conventional data, Web-related information has been an appropriate and increasingly popular target of knowledge discovery. Depending on whether the data used in the knowledge discovery process concerns the Web itself in terms of content or the usage of the content, one distinguishes between Web content mining and Web usage mining.
This book is the first one entirely devoted to Web usage mining. It originates from the WEBKDD'99 Workshop held during the 1999 KDD Conference. The ten revised full papers presented together with an introductory survey by the volume editors documents the state of the art in this exciting new area. The book presents topical sections on Modeling the User, Discovering Rules and Patterns of Navigation, and Measuring interestingness in Web Usage Mining.

Editors and Affiliations

  • Discovery and Intelligent Agents Technology, Redwood Investment Systems Inc., Boston, USA

    Brij Masand

  • Institut für Wirtschaftsinformatik, Humboldt Universität zu Berlin, Berlin, Germany

    Myra Spiliopoulou

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