Book Description
Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. 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.
Introduction to Data Mining, Global Edition - Pang Ning Tan - 9780273769224 - Pearson Education
Author: Pang-Ning Tan, Michael Steinbach, Vipin Kumar
ISBN: 9780273769224
| Publication Year | 2019 |
| Publisher | Pearson Education |
| No. of Pages | 864 |
| Weight | 1.5 kg |
| Genre | Data mining |
Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. 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.