'Introduction to Data Mining' presents fundamental concepts and algorithms for those learning data mining. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics.
Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.
| ISBN: | 9781292026152 |
| Publication date: | 17th July 2013 |
| Author: | PangNing Tan, Michael Steinbach, Vipin Kumar |
| Publisher: | Pearson an imprint of Pearson Education |
| Format: | Paperback |
| Pagination: | 736 pages |
| Series: | Pearson Custom Library |
| Genres: |
Databases |
'Introduction to Data Mining' presents fundamental concepts and algorithms for those learning data mining. Each concept is explored thoroughly and supported with numerous examples.
Introduction to Data Mining features in the following genres: Databases
Paperback. Not Available.
Introduction to Data Mining was written by PangNing Tan, Michael Steinbach, Vipin Kumar and published by Pearson an imprint of Pearson Education
Introduction to Data Mining has 736 pages
Yes it is part of Pearson Custom Library series