Data mining : concepts, models and techniques /

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Bibliographic Details
Author / Creator:Gorunescu, Florin.
Imprint:Berlin ; Heidelberg : Springer, c2011.
Description:1 online resource (xi, 357 p.) : ill.
Language:English
Series:Intelligent systems reference library ; v. 12
Intelligent Systems Reference Library ; v. 12.
Subject:Data mining.
COMPUTERS -- Database Management -- Data Mining.
Data mining.
Electronic books.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/8897654
Hidden Bibliographic Details
ISBN:9783642197215 (electronic bk.)
3642197213 (electronic bk.)
9783642197208
Notes:Includes bibliographical references and index.
Description based on print version record.
Other form:Print version: Florin, Gorunescu. Data mining. Berlin : Springer, 2011
Review by Choice Review

This book provides a gentle introduction to a fascinating and emerging research area. Because of the vast scope of the subject matter involved, Gorunescu (Univ. of Craiova, Romania) intends to provide an easy-to-read "compass" to lead readers though the basic principles. As an introductory text, the material presented is comprehensive and covers every aspect of data mining. The book begins with an overview of data mining, followed by discussions on the data models, the data analysis techniques, the various classification approaches, and finally data mining methods. Though some college mathematics is needed for full understanding, the emphasis is more on concepts than on formulas and more on comprehension than on mathematical rigor. Ample examples give readers an appreciation for how the methodologies can be applied in real-life situations and the effectiveness of these methods. An extensive bibliography will help those interested in obtaining further information on the topic. This book is ideal for students with some technical background to quickly gain an appreciation of data mining and its usage. Summing Up: Highly recommended. Lower-division undergraduates and two-year technical program students. J. Y. Cheung emeritus, University of Oklahoma

Copyright American Library Association, used with permission.
Review by Choice Review