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WEBKDD 2001 — Mining Web Log Data Across All Customers Touch Points

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Cover of 'WEBKDD 2001 — Mining Web Log Data Across All Customers Touch Points'

Table of Contents

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    Book Overview
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    Chapter 1 Detail and Context in Web Usage Mining: Coarsening and Visualizing Sequences
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    Chapter 2 A Customer Purchase Incidence Model Applied to Recommender Services
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    Chapter 3 A Cube Model and Cluster Analysis for Web Access Sessions
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    Chapter 4 Exploiting Web Log Mining for Web Cache Enhancement
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    Chapter 5 LOGML: Log Markup Language for Web Usage Mining
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    Chapter 6 A Framework for Efficient and Anonymous Web Usage Mining Based on Client-Side Tracking
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    Chapter 7 Mining Indirect Associations in Web Data
Attention for Chapter 6: A Framework for Efficient and Anonymous Web Usage Mining Based on Client-Side Tracking
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