000			01998 a2200277 4500
999			_c34496 _d34496
001			nam a22 7a 4500
008			220526b xxu||||| |||| 00| 0 eng d
020			_a9781292026152
082			_a006.312 TA IN
100			_aTan, Pang-Nin _920784
245			_aIntroduction to data mining / _cPang-Ning Tan, Michael Steinbach, Vipin Kumar
250			_aPearson new international edition
260			_aEssex : _bPearson, _cc2014.
300			_aii, 732 p. : _bill. ; _c28 cm.
490			_aPearson custom library
500			_aOriginally published by Pearson Addison Wesley, c2006. "This is a special adaptation of an established title widely used by colleges and universities throughout the world."--Back cover. Includes bibliographical references and index.
505			_aChapter 1. Introduction -- Chapter 2. Data -- Chapter 3. Exploring Data -- Chapter 4. Classification: Basic Concepts, Decision Trees, and Model Evaluation -- Chapter 5. Classification: Alternative Techniques -- Chapter 6. Association Analysis: Basic Concepts and Algorithms -- Chapter 7. Association Analysis: Advanced Concepts -- Chapter 8. Cluster Analysis: Basic Concepts and Algorithms -- Chapter 9. Cluster Analysis: Additional Issues and Algorithms -- Chapter 10. Anomaly Detection
520			_aIntroduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each major topic is organized into two chapters, beginning with basic concepts that provide the necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.
526			_aINFO911
650			_aData mining _9312
700			_aSteinbach, Michael _920785
700			_aKumar, Vipin, _d1956- _920786
856			_uhttps://uow.primo.exlibrisgroup.com/permalink/61UOW_INST/1a3f0tj/alma991003333167706666 _zEbook
856			_uhttps://uowd.box.com/s/vputfhdosh2virihawmxbswm3z4qgk21 _zLocation Map
942			_cREGULAR