Data mining
Subtitle: practical machine learning tools and techniques with Java implementations
By: Ian H. Witten, Eibe Frank.
Contributors: Frank, Eibe.
Publisher: Morgan Kaufmann
Published: 2000
Place of publication: San Francisco, Calif
Language: eng
Number of pages: 371
Subjects: Data mining; Java (Computer program language)
Description: "This book offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. Inside, you'll learn all you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining - including both tried-and-true techniques of the past and Java-based methods at the leading edge of contemporary research. If you're involved at any level in the work of extracting usable knowledge from large collections of data, this clearly written and effectively illustrated book will prove an invaluable resource."--Jacket.
Notes: Includes bibliographical references (p. 339-349) and index.