Overview
Overview of current methods and software for text mining
Experts from academia and industry share their experiences in solving large-scale retrieval and classification problems
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
Includes supplementary material: sn.pub/extras
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Table of contents(12 chapters)
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Document Retrieval and Representation
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Email Surveillance and Filtering
About this book
Editors and Affiliations
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Department of Computer Science, University of Tennessee, USA
Michael W. Berry
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Hewlett-Packard Laboratories, Palo Alto, USA
Malu Castellanos
Bibliographic Information
Book Title: Survey of Text Mining II
Book Subtitle: Clustering, Classification, and Retrieval
Editors: Michael W. Berry, Malu Castellanos
DOI: https://doi.org/10.1007/978-1-84800-046-9
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2008
Hardcover ISBN: 978-1-84800-045-2Published: 11 March 2008
Softcover ISBN: 978-1-84996-713-6Published: 13 October 2010
eBook ISBN: 978-1-84800-046-9Published: 10 December 2007
Edition Number: 1
Number of Pages: XVI, 240
Topics: Data Structures and Information Theory, Natural Language Processing (NLP), Information Storage and Retrieval, Information Systems Applications (incl. Internet), Multimedia Information Systems, Applications of Mathematics