| 000 | 01193nam a22001937a 4500 | ||
|---|---|---|---|
| 005 | 20251201155545.0 | ||
| 020 | _a978-8131267660 | ||
| 082 | _a005.74 HAN | ||
| 100 |
_aJiawei Han _9406 |
||
| 100 |
_aJian Pei _91140 |
||
| 100 |
_aHanghang Tony _91141 |
||
| 245 | _aData Mining: Concepts and Techniques_4th Edition | ||
| 250 | _a4 | ||
| 260 |
_aElsevier _bNew Delhi _c2025 |
||
| 300 |
_a752 _bItem Weight : 1 kg 200 g Dimensions : 20.3 x 25.4 x 4.7 cm |
||
| 520 | _aData Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and methods for mining patterns, knowledge, and models from various kinds of data for diverse applications. Specifically, it delves into the processes for uncovering patterns and knowledge from massive collections of data, known as knowledge discovery from data, or KDD. It focuses on the feasibility, usefulness, effectiveness, and scalability of data mining techniques for large data sets. Presents a comprehensive new chapter on deep learning, including improving training of deep learning models, convolutional neural networks, recurrent neural networks, and graph neural networks. | ||
| 650 |
_aCSE _914 |
||
| 942 | _cBK | ||
| 999 |
_c38054 _d38054 |
||