Survey of Text Mining II

Clustering, Classification, and Retrieval

Editors: Berry, Michael W., Castellanos, Malu (Eds.)

  • Provides an overview of current methods and software for text mining
  • Features experts from academia and industry who share their experience in solving large-scale retrieval and classification problems
  • Highlights open research questions in document categorization, clustering, and trend detection
  • Describes new application problems in areas such as email surveillance and anomaly detection
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  • ISBN 978-1-84800-046-9
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Hardcover $109.00
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  • ISBN 978-1-84800-045-2
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Softcover $109.00
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  • ISBN 978-1-84996-713-6
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About this book

The proliferation of digital computing devices and their use in communication has resulted in an increased demand for systems and algorithms capable of mining textual data. Thus, the development of techniques for mining unstructured, semi-structured, and fully-structured textual data has become increasingly important in both academia and industry.

This second volume continues to survey the evolving field of text mining - the application of techniques of machine learning, in conjunction with natural language processing, information extraction and algebraic/mathematical approaches, to computational information retrieval. Numerous diverse issues are addressed, ranging from the development of new learning approaches to novel document clustering algorithms, collectively spanning several major topic areas in text mining.

Features:

• Acts as an important benchmark in the development of current and future approaches to mining textual information

• Serves as an excellent companion text for courses in text and data mining, information retrieval and computational statistics

• Experts from academia and industry share their experiences in solving large-scale retrieval and classification problems

• Presents an overview of current methods and software for text mining

• Highlights open research questions in document categorization and clustering, and trend detection

• Describes new application problems in areas such as email surveillance and anomaly detection

Survey of Text Mining II offers a broad selection in state-of-the art algorithms and software for text mining from both academic and industrial perspectives, to generate interest and insight into the state of the field. This book will be an indispensable resource for researchers, practitioners, and professionals involved in information retrieval, computational statistics, and data mining.

Michael W. Berry is a professor in the Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville.

Malu Castellanos is a senior researcher at Hewlett-Packard Laboratories in Palo Alto, California.

Table of contents (5 chapters)

  • Automatic Discovery of SimilarWords

    Pierre Senellart, Vincent D. Blondel

    Pages 25-44

  • Principal Direction Divisive Partitioning with Kernels and k-Means Steering

    Dimitrios Zeimpekis, Efstratios Gallopoulos

    Pages 45-64

  • Text Clustering with Local Semantic Kernels

    Loulwah AlSumait, Carlotta Domeniconi

    Pages 87-105

  • Discussion Tracking in Enron Email Using PARAFAC

    Brett W. Bader, Michael W. Berry, Murray Browne

    Pages 147-163

  • Anomaly Detection Using Nonnegative Matrix Factorization

    Edward G. Allan, Michael R. Horvath, Christopher V. Kopek, et al.

    Pages 203-217

Buy this book

eBook $84.99
price for USA
  • ISBN 978-1-84800-046-9
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $109.00
price for USA
  • ISBN 978-1-84800-045-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $109.00
price for USA
  • ISBN 978-1-84996-713-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.

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Bibliographic Information

Bibliographic Information
Book Title
Survey of Text Mining II
Book Subtitle
Clustering, Classification, and Retrieval
Editors
  • Michael W. Berry
  • Malu Castellanos
Copyright
2008
Publisher
Springer-Verlag London
Copyright Holder
Springer-Verlag London
eBook ISBN
978-1-84800-046-9
DOI
10.1007/978-1-84800-046-9
Hardcover ISBN
978-1-84800-045-2
Softcover ISBN
978-1-84996-713-6
Edition Number
1
Number of Pages
XVI, 240
Topics