000			01471nam a22002417a 4500
999			_c51438 _d52985
003			ISURa
008			190617b xxu||||| |||| 00| 0 eng d
020			_a9789332571402
041			_aEnglish
082			_a006.312 _bTAN
100			_aTan, Pang-Ning _972526
245			_aIntroduction to data mining
260			_aNew Delihe _bPearson _c2016
300			_axix, 760 p. _bsome col. _c23 cm.
500			_a. Introduction -- 2. Data -- 3. Exploring data -- 4. Classification : basic concepts, decision trees, and model evaluation -- 5. Classification : alternative techniques -- 6. Association analysis : basic concepts and algorithms -- 7. Association analysis : advanced concepts -- 8. Cluster analysis : basic concepts and algorithms -- 9. Cluster analysis : additional issues and algorithms -- 10. Anomaly detection -- App. A. Linear algebra -- App. B. Dimensionality reduction -- App. C. Probability and statistics -- App. D. Regression -- App. E. Optimization.
520			_a "Introduction to Data Mining is a complete introduction to data mining for students, researchers, and professionals. It provides a sound understanding of the foundations of data mining, in addition to covering many important advanced topics
650			_aKnowledge acquisition (Expert systems) _972527
650			_aDatabase management _966
650			_aData mining _929634
700			_aKumar, Vipin _972528
700			_a Steinbach, Michael _972529
942			_2ddc _cLN