Principles of Data Mining by Max Bramer

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Summary

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.

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Principles of Data Mining by Max Bramer

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.
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)
SKU Unavailable
ISBN 13 9781447148838
ISBN 10 1447148835
Title Principles of Data Mining
Author Max Bramer
Series Undergraduate Topics In Computer Science
Condition Unavailable
Binding Type Paperback
Publisher Springer London Ltd
Year published 2013-02-21
Number of pages 440
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.