Principles of Data Mining, Second Edition (Undergraduate Topics in Computer Science)

Bramer, Max

ISBN 10: 1447148835 / ISBN 13: 9781447148838

Published by Springer (edition 2nd ed. 2013), 2013

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Bibliographic Details

• Title: Principles of Data Mining, Second Edition (Undergraduate Topics in Computer Science)
• Publisher: Springer (edition 2nd ed. 2013)
• Publication Date: 2013
• Language: English
• ISBN 10: 1447148835
• ISBN 13: 9781447148838
• Binding: Paperback
• Edition: 2nd ed. 2013.
• Condition: Fair

About this title

Synopsis

This book explains the principal techniques of data mining, for classification, association rule mining and clustering. Each topic is clearly explained and illustrated by detailed examples, with a focus on algorithms rather than mathematical formalism.

Review

From the reviews of the second edition:

“This book introduces the concept of data mining and explains the various techniques involved. ... This book is written primarily as a text for a course on data mining. The rich pedagogical features, including illustrations, examples, solved problems, exercises and solutions, a glossary, and references, make it an ideal choice for that purpose. It would be very useful for any reader who wants to gain a good understanding of data mining concepts and techniques.” (Alexis Leon, Computing Reviews, September, 2013)