Data mining
concepts and techniques
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Author
Contributions
- Kamber, Micheline. - Contributor
Publication
2001 - Morgan Kaufmann Publishers, San Francisco, California
Language
English
Word Count
137,500 words, Guess
Page Count
550 pages
Identifiers
- Open LibraryOL18325084M
- ISBN-101558604898
- OCLC Control Number44270210
- OCLC Control Numberdataminingconcep00hanj
- Library of Congress Control Number00042822
and 2 more
- Goodreads974478
- LibraryThing84051
Classifications
- DDC006.3
- LCCQA76.9.D343 H36 2001
Description
"Here's the resource you need if you want to apply today's most powerful data mining techniques to meet real business challenges. Data Mining: Concepts and Techniques equips you with a sound understanding of data mining principles and teaches you proven methods for knowledge discovery in large corporate databases.". "Written expressly for database practitioners and professionals, this book begins with a conceptual introduction designed to get you up to speed. This is followed by a comprehensive and state-of-the-art coverage of data mining concepts and techniques. Each chapter functions as a stand alone guide to a critical topic, presenting proven algorithms and sound implementations ready to be used directly or with strategic modification against live data. Wherever possible, the authors raise and answer questions of utility, feasibility, optimization, and scalability, keeping your eye on the issues that will affect your project's results and your overall success." "Data Mining: Concepts and Techniques is the master reference that practitioners and researchers have long been seeking. It is also the obvious choice for academic and professional classrooms."--BOOK JACKET.
Subjects
Topics
Series Statement
- The Morgan Kaufmann series in data management systems
Other Editions
- Data mining: concepts and techniques
Show 3 more editions
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