Principles of Data Mining - Softcover

Max Bramer

Softcover

ISBN 10: 1447148851 ISBN 13: 9781447148852

Publisher: Springer

Synopsis

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 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.

About this title

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)

Edition details

• Publisher: Springer
• ISBN 10: 1447148851
• ISBN 13: 9781447148852
• Binding: Paperback
• Language: English
• Number of pages: 456