Introduction to Data Mining, 2nd Edition

Name: Introduction to Data Mining, 2nd Edition
SKU: GC-3132509141
Availability: InStock

$43.50

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.Introduction to Data Mining 2nd Edition is written by Pang-Ning Tan; Michael Steinbach; Vipin Kumar and published by Pearson. ISBNs for Introduction to Data Mining are 9780134080284, 0134080289 and the print ISBNs are 9780133128901, 0133128903. Additional ISBNs include 9780137506286, 9780136678274.

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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.Introduction to Data Mining 2nd Edition is written by Pang-Ning Tan; Michael Steinbach; Vipin Kumar and published by Pearson. ISBNs for Introduction to Data Mining are 9780134080284, 0134080289 and the print ISBNs are 9780133128901, 0133128903. Additional ISBNs include 9780137506286, 9780136678274.