Introduction to Data Mining (Hardcover, 2nd edition)

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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.

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Product Description

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.

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Product Details

General

Imprint

Addison-Wesley Educational Publishers Inc

Country of origin

United States

Release date

2018

Availability

Expected to ship within 12 - 17 working days

First published

2018

Authors

, ,

Dimensions

242 x 192 x 48mm (L x W x T)

Format

Hardcover

Pages

864

Edition

2nd edition

ISBN-13

978-0-13-312890-1

Barcode

9780133128901

Categories

LSN

0-13-312890-3



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