| 000 | 01462nam a22003378i 4500 | ||
|---|---|---|---|
| 001 | 713779 | ||
| 005 | 20230501204904.0 | ||
| 008 | 160113s2016 enk f 000|0|eng|d | ||
| 020 |
_a9780273769224 (pbk.) : _c£57.99 |
||
| 035 | _a(StDuBDS)9780273769224 | ||
| 040 |
_aStDuBDS _beng _cStDuBDS _erda |
||
| 072 | 7 |
_aCOM _2eflch |
|
| 072 | 7 |
_aCOM _2ukslc |
|
| 082 | 0 | 4 |
_a006.3'12 _223 |
| 100 | 1 |
_aTan, Pang-Ning, _eauthor. |
|
| 245 | 1 | 0 |
_aIntroduction to data mining / _cPang-Ning Tan, Michael Steinbach, Vipin Kumar. |
| 250 | _a2nd edition. | ||
| 264 | 1 |
_aHarlow : _bPearson Education, _c2016. |
|
| 300 |
_a792 pages ; _c24 cm |
||
| 336 |
_atext _2rdacontent |
||
| 337 |
_aunmediated _2rdamedia |
||
| 338 |
_avolume _2rdacarrier |
||
| 520 | 8 | _aIntroduction 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. | |
| 521 | _aSpecialized. | ||
| 650 | 0 | _aData mining. | |
| 650 | 7 |
_aComputers and IT. _2eflch |
|
| 650 | 7 |
_aComputers and IT. _2ukslc |
|
| 700 | 1 |
_aSteinbach, Michael, _eauthor. |
|
| 700 | 1 |
_aKumar, Vipin, _d1956- _eauthor. |
|
| 942 |
_n0 _2ddc |
||
| 999 |
_c59528 _d59528 |
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