000			01560nam a22002417a 4500
999			_c56504 _d56504
005			20200312141716.0
008			200312b ||||| |||| 00| 0 eng d
022			_a9789332571402
028			_aRaghav Books Private Limited _bA-184 A, Nand Gram, Ghaziabad, U.P. _c1805 _d07/03/2020
082			_a006.312 TAN
100			_aPang-Ning Tan _a; Michael Steinbach _a; Vipin Kumar
245			_aIntroduction to data mining _c/Pang-Ning Tan; Michael Steinbach; Vipin Kumar
260			_aNew Delhi _b:Pearson Education _c,2016
300			_axix,760 Pages _c;24 cm.
365			_b799
505			_a 1. 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			_aIntroduction 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			_aComputer Science
655			_aData mining.
700			_aMichael Steinbach
700			_a; Vipin Kumar
942			_cBOOK