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Webkdd 2002 - Mining Web Data for Discovering Usage Patterns and Profiles : 4th International Workshop, Edmonton, Canada, July 23, 2002, Revised Papers - Osmar R. Zaiane

Webkdd 2002 - Mining Web Data for Discovering Usage Patterns and Profiles

4th International Workshop, Edmonton, Canada, July 23, 2002, Revised Papers

By: Osmar R. Zaiane (Editor), Jaideep Srivastava (Editor), Myra Spiliopoulou (Editor), Brij Masand (Editor)

Paperback Published: 13th October 2003
ISBN: 9783540203049
Number Of Pages: 183

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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 insights from Web usage data, aiming toevaluateWebusability, understandtheinterestsandexpectationsofusersand assess the e?ectiveness of content delivery. The maturing and expanding Web presents a key driving force in the rapid growth of electronic commerce and a new channel for content providers. Customized o?ers and content, made possible by discovered knowledge about the customer, are fundamental for the establi- ment of viable e-commerce solutions and sustained and e?ective content delivery in noncommercial domains. Rich Web logs provide companies with data about their online visitors and prospective customers, allowing microsegmentation and personalized interactions. While Web mining as a domain is several years old, the challenges that characterize data analysis in this area continue to be formidable. Though p- processing data routinely takes up a major part of the e?ort in data mining, Web usage data presents further challenges based on the di?culties of assigning data streams to unique users and tracking them over time. New innovations are required to reliably reconstruct sessions, to ascertain similarity and di?erences between sessions, and to be able to segment online users into relevant groups

LumberJack: Intelligent Discovery and Analysis of Web User Traffic Compositionp. 1
Mining eBay: Bidding Strategies and Shill Detectionp. 17
Automatic Categorization of Web Pages and User Clustering with Mixtures of Hidden Markov Modelsp. 35
Web Usage Mining by Means of Multidimensional Sequence Alignment Methodsp. 50
A Customizable Behavior Model for Temporal Prediction of Web User Sequencesp. 66
Coping with Sparsity in a Recommender Systemp. 86
On the Use of Constrained Associations for Web Log Miningp. 100
Mining WWW Access Sequence by Matrix Clusteringp. 119
Comparing Two Recommender Algorithms with the Help of Recommendations by Peersp. 137
The Impact of Site Structure and User Environment on Session Reconstruction in Web Usage Analysisp. 159
Author Indexp. 181
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9783540203049
ISBN-10: 3540203044
Series: Lecture Notes in Computer Science / Lecture Notes in Artific
Audience: General
Format: Paperback
Language: English
Number Of Pages: 183
Published: 13th October 2003
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Country of Publication: DE
Dimensions (cm): 23.39 x 15.6  x 1.07
Weight (kg): 0.28