Description
Survey of Text Mining II (2nd Ed., 2008)
Clustering, Classification, and Retrieval
Coordinators: Berry Michael W., Castellanos Malu
Language: EnglishSubjects for Survey of Text Mining II:
Publication date: 10-2010
240 p. · 15.5x23.5 cm · Paperback
Publication date: 03-2008
240 p. · 15.5x23.5 cm · Hardback
Description
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This Second Edition brings readers thoroughly up to date with the emerging 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. The book explores a broad range of issues, ranging from the development of new learning approaches to the parallelization of existing algorithms. Authors highlight open research questions in document categorization, clustering, and trend detection. In addition, the book describes new application problems in areas such as email surveillance and anomaly detection.
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