WEBKDD 2001—通过全部客户触点开采网站纪录数据／会议录 WEBKDD 2001-Mining Web Log Data Across All Customer Touch Points
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作者： Ron Kohavi等编
出 版 社： 湖南文艺出版社
出版时间： 2002-9-1字数：版次： 1页数： 166印刷时间： 2002/09/01开本： 16开印次： 1纸张： 胶版纸I S B N ： 9783540439691包装： 平装内容简介
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.
目录
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 MaximiUian Jahn
A Cube Model and Cluster Analysis for Web Access Sessions Joshua Zhexue Huang, Michael Ng, Wai-Ki Ching, Joe Ng,
and David Cheung
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
Author Index