000 | a | ||
---|---|---|---|
999 |
_c199446 _d199446 |
||
020 | _a9780273769224 | ||
040 | _cCUS | ||
082 |
_a006.312 _bTAN/I |
||
100 | _aTan, Pang-Ning | ||
245 |
_aIntroduction to data mining/ _cPang-Ning Tan, Michael Steinbach, Anuj Karpatne, Vipin Kumar |
||
250 | _a2nd ed. | ||
260 |
_bPearson, _c2019. _aNew York: |
||
300 |
_a859 p. : _bill. ; _c25 cm. |
||
505 | _a1 Introduction 2 Data 3 Classification: Basic Concepts and Techniques 4 Association Analysis: Basic Concepts and Algorithms 5 Cluster Analysis: Basic Concepts and Algorithms 6 Classification: Alternative Techniques 7 Association Analysis: Advanced Concepts 8 Cluster Analysis: Additional Issues and Algorithms 9 Anomaly Detection 10 Avoiding False Discoveries | ||
650 | _aData mining | ||
650 | _aDatabase management | ||
650 | _aKnowledge acquisition | ||
650 | _aDatabases | ||
700 | _aSteinbach, Michael | ||
700 | _aKumar, Vipin | ||
942 | _cWB16 |