Data mining : a knowledge discovery approach / Krzysztof J. Cios ... [and others].

Format:

Book

Contributor:

Cios, Krzysztof J.

Hazel M. Hussong Fund.

Language:

English

Subjects (All):

Data mining.

Physical Description:

xv, 606 pages : illustrations ; 26 cm

Place of Publication:

New York ; New York : Springer, [2007]

Summary:

This comprehensive, senior through graduate level textbook on data mining details the unique steps of the knowledge discovery process that prescribes the sequence in which data mining projects should be performed. The book offers an authoritative treatment of all development phases from problem and data understanding through data preprocessing to deployment of the results. This knowledge discovery approach is what distinguishes this book from other texts in the area. The text concentrates on data preparation, clustering and association rule learning (required for processing unsupervised data), decision trees, rule induction algorithms, neural networks, and many other data mining methods, focusing predominantly on those which have proven successful in data mining projects.

Researchers, practitioners and students are certain to consider Data Mining an indispensable resource in successfully accomplishing the goals of their data mining projects.

Notes:

Includes bibliographical references and index.

Local Notes:

Acquired for the Penn Libraries with assistance from the Hazel M. Hussong Fund.

ISBN:

0387333339

9780387333335

9780387367958

0387367950

OCLC:

181420699