WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles 4th International Workshop, Edmonton, Canada, July 23, 2002, Revised Papers /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Zaiane, Osmar R. (Editor, http://id.loc.gov/vocabulary/relators/edt), Srivastava, Jaideep (Editor, http://id.loc.gov/vocabulary/relators/edt), Spiliopoulou, Myra (Editor, http://id.loc.gov/vocabulary/relators/edt), Masand, Brij (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2003.
• Edition: 1st ed. 2003.
• Series: Lecture Notes in Artificial Intelligence ; 2703
• Subjects: Computer science.; Artificial intelligence.; Computer communication systems.; Database management.; Information storage and retrieval.; Application software.; Popular Computer Science.; Artificial Intelligence.; Computer Communication Networks.; Database Management.; Information Storage and Retrieval.; Information Systems Applications (incl. Internet).

1 WorkshopTheme Data mining as a discipline aims to relate the analysis of large amounts of user data to shed light on key business questions. Web usage mining in particular, a relatively young discipline, investigates methodologies and techniques that - dress the unique challenges of discovering in...

Table of Contents:

• 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.