Introduction to Data Mining
Tan, Pang-Ning; Steinbach, Michael; Kumar, Vipin
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Description for Introduction to Data Mining
Paperback. Num Pages: 792 pages. BIC Classification: UNF. Category: (U) Tertiary Education (US: College). Dimension: 232 x 187. .
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 ... Read more
Show LessProduct Details
Format
Paperback
Publication date
2017
Publisher
Pearson Education (US) United States
Number of pages
792
Condition
New
Number of Pages
864
Place of Publication
, United States
ISBN
9780133128901
SKU
V9780133128901
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-10
About Tan, Pang-Ning; Steinbach, Michael; Kumar, Vipin
About our authors Dr Pang-Ning Tan is a Professor in the Department of Computer Science and Engineering at Michigan State University. He received his MS degree in Physics and PhD degree in Computer Science from University of Minnesota. His research interests focus on the development of novel data mining algorithms for a broad range of applications, including climate and ecological ... Read more
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