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Introduction to Data Mining by Pang-Ning Tan

Book

Introduction to Data Mining

2nd Edition

Pang-Ning Tan, Michael Steinbach, Vipin Kumar

Pearson Education · Print & ebook · January 4, 2018

Reading lane: Data Mining

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.

At a Glance

Who It's For

Useful for students, instructors, researchers, and data mining professionalsFor readers seeking background to apply data mining to real problems

Book Details

Authors
Pang-Ning Tan, Michael Steinbach, Vipin Kumar
Publisher
Pearson Education
Published
January 4, 2018
Format
Print & ebook
Theme
Data Mining · Data Warehousing
Reading lane
Data Mining

Affinity

Publisher Categories

  • Data Warehousing

About This Book

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 mini...

Read full 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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