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Advances in Web Mining and Web Usage Analysis

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Cover of 'Advances in Web Mining and Web Usage Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Mining Significant Usage Patterns from Clickstream Data
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    Chapter 2 Using and Learning Semantics in Frequent Subgraph Mining
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    Chapter 3 Overcoming Incomplete User Models in Recommendation Systems Via an Ontology
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    Chapter 4 Data Sparsity Issues in the Collaborative Filtering Framework
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    Chapter 5 USER: User-Sensitive Expert Recommendations for Knowledge-Dense Environments
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    Chapter 6 Analysis and Detection of Segment-Focused Attacks Against Collaborative Recommendation
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    Chapter 7 Adaptive Web Usage Profiling
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    Chapter 8 On Clustering Techniques for Change Diagnosis in Data Streams
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    Chapter 9 Personalized Search Results with User Interest Hierarchies Learnt from Bookmarks
Attention for Chapter 4: Data Sparsity Issues in the Collaborative Filtering Framework
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