000			01601 a2200301 4500
999			_c954 _d954
005			20200925114113.0
008			200925b ||||| |||| 00| 0 eng d
020			_a9788184891393
040			_bDDC
082			_a006.312 _bMAI
100			_aMaimon, Odd
245			_aThe Data Mining and Knowledge Discovery Handbook
260			_aNew Delhi : _bSpringer, _c2009.
300			_b1383 pages : _aill.; _c24 cm.
505			_tPart I Preprocessing methods.- _tPart II Supervised methods.- _tPart III Unsupervised methods.- _tPart IV Soft computing methods.- _tPart V Supporting methods.- _tPart VI Advanced methods.- _tPart VII Applications.- _tPart VIII Software.-
520			_aData Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository." "Data Mining and Knowledge Discovery Handboook is designer for research scientists and graduate-level students in computer science and engineering. This book is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management.
650			_aData mining
650			_aKnowledge acquisition (Expert systems)
650			_aComputer science
650			_aDatabase management
650			_aInformation storage and retrieval systems
650			_aArtificial intelligence
650			_aMultimedia systems
650			_aComputer networks
700			_aRokach, Lior
942			_cG _2ddc