Principles of Data Mining

by Max Bramer

This book explains the principal techniques of data 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.

354 pages, Paperback

First published March 28, 2007

Reviews

[Johan Decorte · Rating 4 out of 5]

Great introduction to the most important data mining algorithms for someone with a mathematical background.