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
Editors and Affiliations
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
Industry Sectors: Electronics, IT & Software, Telecommunications