| 000 | 01173cam a2200253 i 4500 | ||
|---|---|---|---|
| 999 |
_c19533 _d19533 |
||
| 001 | 20058386 | ||
| 005 | 20200601134130.0 | ||
| 008 | 171011s2019 nyua b 001 0 eng | ||
| 020 | _a9780133128901 (hardback) | ||
| 020 | _a0133128903 (hardback) | ||
| 040 | _cDLC | ||
| 082 | 0 | 0 |
_a006.312 _223 _bT1532 |
| 100 | 1 | _aTan, Pang-Ning, | |
| 245 | 1 | 0 |
_aIntroduction to data mining / _cPang-Ning Tan, Michigan State University, Michael Steinbach, University of Minnesota, Anuj Karpatne, University of Minnesota, Vipin Kumar, University of Minnesota. |
| 250 | _aSecond edition. | ||
| 260 |
_aNew York : _bPearson, _c2019 |
||
| 300 |
_axix, 839 pages : _billustrations ; _c24 cm |
||
| 650 | 0 | _aData mining. | |
| 700 | 1 | _aSteinbach, Michael, | |
| 700 | 1 | _aKarpatne, Anuj, | |
| 700 | 1 | _aKumar, Vipin, | |
| 942 | _cBK | ||
| 505 | 0 | _adata; classification: basic concepts and techniques; classification: alternative techniques; association analysis: basic concepts and algorithms; association analysis: advanced concepts; cluster analysis: basic concepts and algorithms; cluster analysis: additional issues and algorithms; anomaly detection; avoiding false discoveries | |