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Introduction to Data Mining (Revised)

Contributor(s): Tan, Pang-Ning (Author), Steinbach, Michael (Author), Kumar, Vipin (Author)

ISBN: 9780133128901

Publisher: Pearson

Hardcover
$173.32
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Pub Date: January 4, 2018

Dewey: 006.312

LCCN: 2017048641

Lexile Code: 0000

Features: Bibliography, Index

Target Age Group: NA to NA

Physical Info: 1.90" H x 9.30" L x 7.70" W ( 3.70 lbs) 864 pages

BISAC Categories:

Computers | Data Science | Data Warehousing

Descriptions, Reviews, etc.

Description: 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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