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Introduction to Data Mining
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Introduction to Data Mining

Book Details

Format Hardback or Cased Book
ISBN-10 0133128903
ISBN-13 9780133128901
Publisher Pearson Education (US)
Imprint Pearson
Country of Manufacture GB
Country of Publication GB
Publication Date Jan 11th, 2018
Print length 864 Pages
Weight 1,540 grams
Dimensions 19.50 x 23.40 x 4.70 cms
Product Classification: Data mining
Ksh 25,100.00
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Introducing the fundamental concepts and algorithms of data mining

Introduction to Data Mining, 2nd Edition, gives a comprehensive overview of the background and general themes of data mining and is designed to be useful to students, instructors, researchers, and professionals. Presented in a clear and accessible way, the book outlines fundamental concepts and algorithms for each topic, thus providing the reader with the necessary background for the application of data mining to real problems. The text helps readers understand the nuances of the subject, and includes important sections on classification, association analysis, and cluster analysis. This edition improves on the first iteration of the book, published over a decade ago, by addressing the significant changes in the industry as a result of advanced technology and data growth.

For courses in data mining and database systems.

 

Introducing the fundamental concepts and algorithms of data mining

Introduction to Data Mining, 2nd Edition, gives a comprehensive overview of the background and general themes of data mining and is designed to be useful to students, instructors, researchers, and professionals. Presented in a clear and accessible way, the book outlines fundamental concepts and algorithms for each topic, thus providing the reader with the necessary background for the application of data mining to real problems. The text helps students understand the nuances of the subject, and includes important sections on classification, association analysis, and cluster analysis. This edition improves on the first iteration of the book, published over a decade ago, by addressing the significant changes in the industry as a result of advanced technology and data growth.


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