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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 Adaptive Website Design Using Caching Algorithms
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    Chapter 2 Incorporating Usage Information into Average-Clicks Algorithm
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    Chapter 3 Nearest-Biclusters Collaborative Filtering with Constant Values
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    Chapter 4 Fast Categorization of Web Documents Represented by Graphs
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    Chapter 5 Leveraging Structural Knowledge for Hierarchically-Informed Keyword Weight Propagation in the Web
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    Chapter 6 How to Define Searching Sessions on Web Search Engines
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    Chapter 7 Incorporating Concept Hierarchies into Usage Mining Based Recommendations
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    Chapter 8 A Random-Walk Based Scoring Algorithm Applied to Recommender Engines
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    Chapter 9 Towards a Scalable k NN CF Algorithm: Exploring Effective Applications of Clustering
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    Chapter 10 Detecting Profile Injection Attacks in Collaborative Filtering: A Classification-Based Approach
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    Chapter 11 Predicting the Political Sentiment of Web Log Posts Using Supervised Machine Learning Techniques Coupled with Feature Selection
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    Chapter 12 Analysis of Web Search Engine Query Session and Clicked Documents
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    Chapter 13 Understanding Content Reuse on the Web: Static and Dynamic Analyses
Attention for Chapter 11: Predicting the Political Sentiment of Web Log Posts Using Supervised Machine Learning Techniques Coupled with Feature Selection
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