Foundations of Computational, IntelligenceVolume 6

Table of Contents

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   Book Overview
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   Chapter 1 Mining and Analysis of Clickstream Patterns
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   Chapter 2 An Overview on Mining Data Streams
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   Chapter 3 Data Stream Mining Using Granularity-Based Approach
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   Chapter 4 Time Granularity in Temporal Data Mining
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   Chapter 5 Mining User Preference Model from Utterances
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   Chapter 6 Text Summarization: An Old Challenge and New Approaches
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   Chapter 7 From Faceted Classification to Knowledge Discovery of Semi-structured Text Records
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   Chapter 8 Multi-value Association Patterns and Data Mining
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    Chapter 9 Clustering Time Series Data: An Evolutionary Approach
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    Chapter 10 Support Vector Clustering: From Local Constraint to Global Stability
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    Chapter 11 New Algorithms for Generation Decision Trees—Ant-Miner and Its Modifications
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    Chapter 12 Automated Incremental Building of Weighted Semantic Web Repository
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    Chapter 13 A Data Mining Approach for Adaptive Path Planning on Large Road Networks
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    Chapter 14 Linear Models for Visual Data Mining in Medical Images
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    Chapter 15 A Framework for Composing Knowledge Discovery Workflows in Grids
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    Chapter 16 Distributed Data Clustering: A Comparative Analysis