| 000 | 01231nam a22002057a 4500 | ||
|---|---|---|---|
| 003 | AIT | ||
| 005 | 20231004130145.0 | ||
| 008 | 230828b ii ||||| |||| 00| 0 eng d | ||
| 020 | _a978-81-312-6766-0 | ||
| 040 | _cAIT | ||
| 082 |
_a005.74 _bHAN |
||
| 100 |
_aJiawei Han, Jian Pei and Hanghang Tong _913535 |
||
| 245 | _aData Mining : Concepts and Techniques | ||
| 250 | _a4th ed | ||
| 260 |
_aNew Delhi, _bElsevier RELX India Pvt. Ltd ; _c2023. |
||
| 300 | _axxiv, 752 p. | ||
| 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 |
_aData Mining I MCA _913536 |
||
| 942 |
_2ddc _cMCA_BK _n0 |
||
| 999 |
_c7084 _d7084 |
||