WEBKDD 2001 - Mining Web Log Data Across All Customers Touch Points Third International Workshop, San Francisco, CA, USA, August 26, 2001, Revised Papers /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Kohavi, Ron (Editor, http://id.loc.gov/vocabulary/relators/edt), Masand, Brij M. (Editor, http://id.loc.gov/vocabulary/relators/edt), Spiliopoulou, Myra (Editor, http://id.loc.gov/vocabulary/relators/edt), Srivastava, Jaideep (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2002.
• Edition: 1st ed. 2002.
• Series: Lecture Notes in Artificial Intelligence ; 2356
• Subjects: Computer science.; Data structures (Computer science).; Computer simulation.; Artificial intelligence.; Database management.; Information storage and retrieval.; Popular Computer Science.; Data Structures and Information Theory.; Simulation and Modeling.; Artificial Intelligence.; Database Management.; Information Storage and Retrieval.

WorkshopTheme The ease and speed with which business transactions can be carried out over the Web has been a key driving force in the rapid growth of electronic commerce. In addition, customer interactions, including personalized content, e-mail c- paigns, and online feedback provide new channels of...

Table of Contents:

• Detail and Context in Web Usage Mining: Coarsening and Visualizing Sequences
• A Customer Purchase Incidence Model Applied to Recommender Services
• A Cube Model and Cluster Analysis for Web Access Sessions
• Exploiting Web Log Mining for Web Cache Enhancement
• LOGML: Log Markup Language for Web Usage Mining
• A Framework for Efficient and Anonymous Web Usage Mining Based on Client-Side Tracking
• Mining Indirect Associations in Web Data.