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Survey of Text Mining

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Cover of 'Survey of Text Mining'

Table of Contents

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    Book Overview
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    Chapter 1 Cluster-Preserving Dimension Reduction Methods for Efficient Classification of Text Data
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    Chapter 2 Automatic Discovery of Similar Words
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    Chapter 3 Simultaneous Clustering and Dynamic Keyword Weighting for Text Documents
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    Chapter 4 Feature Selection and Document Clustering
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    Chapter 5 Vector Space Models for Search and Cluster Mining
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    Chapter 6 HotMiner: Discovering Hot Topics from Dirty Text
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    Chapter 7 Combining Families of Information Retrieval Algorithms Using Metalearning
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    Chapter 8 Trend and Behavior Detection from Web Queries
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    Chapter 9 A Survey of Emerging Trend Detection in Textual Data Mining
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