Book 2008

Survey of Text Mining II

Clustering, Classification, and Retrieval

Editors:

ISBN: 978-1-84800-045-2 (Print) 978-1-84800-046-9 (Online)

Table of contents (12 chapters)

  1. Front Matter

    Pages i-xv

  2. Clustering

    1. No Access

      Chapter

      Pages 3-23

      Cluster-Preserving Dimension Reduction Methods for Document Classification

    2. No Access

      Chapter

      Pages 25-44

      Automatic Discovery of SimilarWords

    3. No Access

      Chapter

      Pages 45-64

      Principal Direction Divisive Partitioning with Kernels and k-Means Steering

    4. No Access

      Chapter

      Pages 65-85

      Hybrid Clustering with Divergences

    5. No Access

      Chapter

      Pages 87-105

      Text Clustering with Local Semantic Kernels

  3. Document Retrieval and Representation

    1. No Access

      Chapter

      Pages 109-127

      Vector Space Models for Search and Cluster Mining

    2. No Access

      Chapter

      Pages 129-144

      Applications of Semidefinite Programming in XML Document Classification

  4. Email Surveillance and Filtering

    1. No Access

      Chapter

      Pages 147-163

      Discussion Tracking in Enron Email Using PARAFAC

    2. No Access

      Chapter

      Pages 165-183

      Spam Filtering Based on Latent Semantic Indexing

  5. Anomaly Detection

    1. No Access

      Chapter

      Pages 187-202

      A Probabilistic Model for Fast and Confident Categorization of Textual Documents

    2. No Access

      Chapter

      Pages 203-217

      Anomaly Detection Using Nonnegative Matrix Factorization

    3. No Access

      Chapter

      Pages 219-232

      Document Representation and Quality of Text: An Analysis

  6. Back Matter

    Pages 233-240