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Principles of data mining PDF

354 Pages·2007·1.755 MB·English
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by Max A. Bramer| 2007| 354 pages| 1.755| English

About Principles of data mining

This book explains the principal techniques of data mining: for classification, generation of association rules and clustering. It is written for readers without a strong background in mathematics or statistics and focuses on detailed examples and explanations of the algorithms given. This will benefit readers of all levels, from those who use data mining via commercial packages, right through to academic researchers. The book aims to help the general reader develop the necessary understanding to use commercial data mining packages, and to enable advanced readers to understand or contribute to future technical advances. Includes exercises and glossary.

Detailed Information

Author:Max A. Bramer
Publication Year:2007
ISBN:1846287669
Pages:354
Language:English
File Size:1.755
Format:PDF
Price:FREE
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Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.