WEBKDD 2002 : mining Web data for discovering usage patterns and profiles : 4th international workshop, Edmonton, Canada, July 23, 2002 : revised papers / Osmar R. Zaïane [and others] (eds.).
By: (4th : WEBKDD 2002 (4th : 2002 : Edmonton, Alta.)
Contributor(s): Zaiane, Osmar RMaterial type: TextSeries: SerienbezeichnungLecture notes in computer science: 2703.; Lecture notes in computer science: Publisher: Berlin ; London : Springer, ©2003Description: 1 online resource (viii, 179 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9783540396635; 3540396632Other title: Mining Web data for discovering usage patterns and profilesSubject(s): Web usage mining -- Congresses | Internet users -- Congresses | Internet users | Web usage miningGenre/Form: Electronic books. | Conference papers and proceedings. Additional physical formats: Print version:WEBKDD 2002 (2002 : Edmonton, Alta.): WEBKDD 2002 : mining Web data for discovering usage patterns and profiles : 4th international workshop, Edmonton, Canada, July 23, 2002 : revised papers.DDC classification: 006.3 LOC classification: ZA4235 | .W435 2002Other classification: 54.69 | DAT 600f | DAT 650f | SS 4800 | ST 530 | WIR 917f Online resources: Click here to access online
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Includes bibliographical references and index.
This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop on Mining Web Data, WEBKDD 2002, held in Edmonton, Canada, in July 2002. The 10 revised full papers presented together with a detailed preface went through two rounds of reviewing and improvement and were selected from 23 submissions. The papers are organized in topical sections on categorization of users and usage, prediction and recommendation, and evaluation of algorithms.
LumberJack: Intelligent Discovery and Analysis of Web User Traffic Composition -- Mining eBay: Bidding Strategies and Shill Detection -- Automatic Categorization of Web Pages and User Clustering with Mixtures of Hidden Markov Models -- Web Usage Mining by Means of Multidimensional Sequence Alignment Methods -- A Customizable Behavior Model for Temporal Prediction of Web User Sequences -- Coping with Sparsity in a Recommender System -- On the Use of Constrained Associations for Web Log Mining -- Mining WWW Access Sequence by Matrix Clustering -- Comparing Two Recommender Algorithms with the Help of Recommendations by Peers -- The Impact of Site Structure and User Environment on Session Reconstruction in Web Usage Analysis.