WEBKDD 2001 : mining web log data across all customers touch points : third international workshop, San Francisco, CA, USA, August 26, 2001 : revised papers / Ron Kohavi [and others] (eds.).

By: WEBKDD 2001 (2001 : San Francisco, Calif.)
Contributor(s): Kohavi, Ron | LINK (Online service)
Material type: TextTextSeries: SerienbezeichnungLecture notes in computer science: 2356.; Lecture notes in computer science: Publisher: Berlin ; Hong Kong : Springer-Verlag, ©2002Description: 1 online resource (ix, 166 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9783540456407; 3540456406Other title: Mining web log data across all customers touch pointsSubject(s): Web usage mining -- Congresses | Internet users -- Congresses | Electronic commerce -- Congresses | Electronic commerce | Internet users | Web usage miningGenre/Form: Electronic books. | Conference papers and proceedings. Additional physical formats: Print version:WEBKDD 2001 (2001 : San Francisco, Calif.): WEBKDD 2001--mining web log data across all customer touch points : third international workshop, San Francisco, CA, USA, August 26, 2001 : revised papers.DDC classification: 006.3 LOC classification: ZA4235 | .W43 2001Other classification: 54.69 Online resources: Click here to access online
Contents:
Detail and context in web usage mining: coarsening and visualizing sequences / Bettina Berendt -- A customer purchase incidence model applied to recommender services / Andreas Geyer-Schulz, Michael Hahsler, and Maximillian Jahn -- A cube model and cluster analysis for web access sessions / Joshua Zhexue Huang [and others] -- Exploiting web log mining for web cache enhancement / Alexandros Nanopoulos, Dimitrios Katsaros, and Yannis Manolopoulos -- LOGML: log markup language for web usage mining / John R. Punin, Mukkai S. Krishnamoorthy, and Mohammed J. Zaki -- A framework for efficient and anonymous web usage mining based on client-side tracking / Cyrus Shahabi and Farnoush Banaei-Kashani -- Mining indirect associations in web data / Pang-Ning Tan and Vipin Kumar.
Summary: This book constitutes the thoroughly refereed post-proceedings of the Third International Workshop on Mining Web Data, WEBKDD 2001 held in San Francisco, CA, USA in August 2001. The seven revised full papers went through two rounds of reviewing an improvement. The book addresses key issues in mining Web log data for e-commerce. The papers are devoted to predicting user access, recommender systems and access modeling, and acquiring and modeling data and patterns.
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Includes bibliographical references and index.

Detail and context in web usage mining: coarsening and visualizing sequences / Bettina Berendt -- A customer purchase incidence model applied to recommender services / Andreas Geyer-Schulz, Michael Hahsler, and Maximillian Jahn -- A cube model and cluster analysis for web access sessions / Joshua Zhexue Huang [and others] -- Exploiting web log mining for web cache enhancement / Alexandros Nanopoulos, Dimitrios Katsaros, and Yannis Manolopoulos -- LOGML: log markup language for web usage mining / John R. Punin, Mukkai S. Krishnamoorthy, and Mohammed J. Zaki -- A framework for efficient and anonymous web usage mining based on client-side tracking / Cyrus Shahabi and Farnoush Banaei-Kashani -- Mining indirect associations in web data / Pang-Ning Tan and Vipin Kumar.

Print version record.

This book constitutes the thoroughly refereed post-proceedings of the Third International Workshop on Mining Web Data, WEBKDD 2001 held in San Francisco, CA, USA in August 2001. The seven revised full papers went through two rounds of reviewing an improvement. The book addresses key issues in mining Web log data for e-commerce. The papers are devoted to predicting user access, recommender systems and access modeling, and acquiring and modeling data and patterns.

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