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Principles of Data Mining

Principles of Data Mining

by Max Bramer

Publisher Springer Science & Business Media
Published Date 2007-03-06
Page Count 344
Categories Computers / Information Theory, Computers / Computer Science, Computers / System Administration / Storage & Retrieval, Computers / Database Administration & Management, Computers / Artificial Intelligence / General, Computers / Programming / General, Computers / Programming / Algorithms, Computers / Information Technology
Language EN
Average Rating N/A (based on N/A ratings)
Maturity Rating No Mature Content Detected
ISBN 1846287669
Book Cover

Data Mining, the automatic extraction of implicit and potentially useful information from data, is increasingly used in commercial, scientific and other application areas.

This book explains and explores 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 should prove of value to readers of all kinds, from those whose only use of data mining techniques will be via commercial packages right through to academic researchers.

This book aims to help the general reader develop the necessary understanding to use commercial data mining packages discriminatingly, as well as enabling the advanced reader to understand or contribute to future technical advances in the field. Each chapter has practical exercises to enable readers to check their progress. A full glossary of technical terms used is included.

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