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Bibliographic Details

Title: Principles of Data Mining (Undergraduate Topics in Computer Science)
Publisher: Springer
Publication Date: 2007
Language: English
ISBN 10: 1846287650
ISBN 13: 9781846287657
Binding: Soft cover
Condition: Good

About this title

Synopsis

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.

About the Author

Max Bramer is Digital Professor of Information Technology at the University of Portsmouth, UK.

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Phatpocket Limited is a world class secondhand bookstore located in the Hertfordshire countryside in the United Kingdom. We specialize in textbooks across an enormous variety of subjects. We aim to provide a low cost source of high quality textbooks to the academic community. We also have a sizable collection of rare and collectible books. We are dedicated to providing our customers with the highest standard of customer service in the bookselling business.Phatpocket Limited is registered in England and Wales: No. 04924751.

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