000			01469nam a2200253Ia 4500
005			20250429110725.0
008			230228s2022||||xx |||||||||||||| ||eng||
020			_a9789354491047
041			_aEnglish
082			_a006.312 T36, 2
100			_aTan, Pang-Ning _eAuthor _9244
100			_aSteinbach, Michael _eCo-Author _9245
100			_aKarpatne ,Anuj _eCo-Author _9246
100			_aKumar ,Vipin _eCo-Author _9247
245		0	_aIntroduction to data mining
250			_a2nd ed.
260			_aNoida: _bPearson, _c2022.
300			_axxi,769p.;17cms.
500			_aIntroduction to Data Mining: 2nd Edition FEATURES: New-As a result of developments in the industry, the text contains a deeper focus on big data and includes chapter changes in response to these advances. New-This edition contains new and updated approaches to data mining, specifically among the anomaly detection section. New-An additional final chapter discusses statistical concepts in the context of data mining techniques, something not found in other textbooks. Updated-The classification chapters have been significantly changed to reflect the latest information in the industry, including a new section on deep learning and updates to the advanced classification chapter. MARKET Under Graduate students of Computer Science Engineering and IT
650			_aComputer Science _947
650			_aData mining _9322
650			_xDatabase management _91082
942			_cBK
999			_c406 _d406