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Discover Computing
Published in: Discover Computing 2/2011

01-04-2011 | Book Review

Michael W. Berry and Jacob Kogan (eds.): Text mining: applications and theory

John Wiley and Sons, Ltd, 2010, xiv + 207 pp, £55.00/€66.00, hardcover, ISBN: 978-0-470-74982-1

Author: Zhang Xiaojun

Published in: Discover Computing | Issue 2/2011

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Excerpt

Text mining: applications and theory presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives. Actually, it is the proceedings of a one-day workshop on text mining which hold on May 2, 2009 in conjunction with the SIAM Ninth International Conference on Data Mining. This volume demonstrates how advancements in the fields of applied mathematics, computer science, machine learning, and natural language processing can collectively capture, classify, and interpret words and their contexts. As suggested in the preface, text mining is needed when “words are not enough” (p. xiv). Collectively, the contributors span several major topic areas in text mining: Keyword extraction, Classification and clustering, Anomaly and trend detection, Text streams. According to these topic areas, Michael W. Berry and Jacob Kogan divided the content into three parts: Part I, Text Extraction, Classification and Clustering (Chaps. 1–5); Part II, Anomaly and Trend Detection (Chaps. 6–8); and Part III, Text Streams (Chaps. 8–9). …
previous article Diane Kelly: Methods for evaluating interactive information retrieval systems with users

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Literature
Berry, M. W. (Ed.). (2003). Survey of text mining. New York, USA: Springer.
Srivastava, A. N., & Sahami, M. (Eds.). (2009). Text mining. Boca Raton, USA: CRC Press.MATH
Weiss, S. M., et al. (Eds.). (2005). Text mining. New York, USA: Springer.MATH
Metadata
Title
Michael W. Berry and Jacob Kogan (eds.): Text mining: applications and theory
John Wiley and Sons, Ltd, 2010, xiv + 207 pp, £55.00/€66.00, hardcover, ISBN: 978-0-470-74982-1
Author
Zhang Xiaojun
Publication date
01-04-2011
Publisher
Springer Netherlands
Published in
Discover Computing / Issue 2/2011
Print ISSN: 2948-2984
Electronic ISSN: 2948-2992
DOI
https://doi.org/10.1007/s10791-010-9153-5

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