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Bramer, M: Principles of Data Mining

Data Mining, the automatic extraction of implicit and potentially useful information from data, is increasingly used in commercial, scientific and other application areas.
Principles of Data Mining explains and explores the principal techniques of Data Mining: for classification, association rule mining and clustering. Each topic is clearly explained and illustrated by detailed worked examples, with a focus on algorithms rather than mathematical formalism. It is written for readers without a strong background in mathematics or statistics, and any formulae used are explained in detail.
This second edition has been expanded to include additional chapters on using frequent pattern trees for Association Rule Mining, comparing classifiers, ensemble classification and dealing with very large volumes of data.
Principles of Data Mining aims to help general readers develop the necessary understanding of what is inside the 'black box' so they can use commercial data mining packages discriminatingly, as well as enabling advanced readers or academic researchers to understand or contribute to future technical advances in the field.
Suitable as a textbook to support courses at undergraduate or postgraduate levels in a wide range of subjects including Computer Science, Business Studies, Marketing, Artificial Intelligence, Bioinformatics and Forensic Science.

Rezension
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)
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Einband Taschenbuch
Seitenzahl 440
Erscheinungsdatum 08.03.2013
Sprache Englisch
ISBN 978-1-4471-4883-8
Verlag Springer
Maße (L/B/H) 235/155/24 mm
Gewicht 684
Abbildungen 101 schwarzweisse Abbildungen
Auflage 2nd ed. 2013.
Buch (Taschenbuch, Englisch)
48,09
inkl. gesetzl. MwSt.
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