000			02990cam a22004097i 4500
001			20144943
003			OSt
005			20220523121119.0
008			171116s2018 enkacd b 001 0 eng d
010			_a 2017961209
020			_a9780124166325
020			_a0124166326
035			_a(OCoLC)on1012917853
040			_aSISPL _beng _cSISPL _erda _dSISPL _dTXI _dFIE _dNJR _dDLC
042			_alccopycat
082			_223 _a6.312 _bN631 2018
100	1		_aNisbet, Robert, _eauthor. _95333
245	1	0	_aHandbook of statistical analysis and data mining applications / _cRobert Nisbet, Gary Miner, Ken Yale ; guest authors of selected chapters, John Elder, Andy Peterson.
250			_aSecond edition.
264		1	_aLondon : _bAcademic Press, _c[2018]
300			_axxix, 792 pages : _bcolor illustrations, charts (chiefly color), portraits (some color) ; _c25 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references and index.
505	0		_aHistory of phases of data analysis, basic theory, and the data mining process -- The algorithms and methods in data mining and predictive analytics and some domain areas -- Tutorials and case studies -- Models ensembles, model complexity; using the right model for the right use, significance, ethics, and the future and advanced processes.
520			_aHandbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas-from science and engineering, to medicine, academia and commerce.
650		0	_aData mining _xStatistical methods. _95334
650		0	_aMultivariate analysis. _95402
700	1		_aMiner, Gary, _eauthor. _95335
700	1		_aYale, Ken, _eauthor. _95336
700	1		_aElder, John F. _q(John Fletcher), _ewriter of supplementary textual content. _95337
700	1		_aPeterson, Andrew F., _d1960- _ewriter of supplementary textual content. _95338
906			_a7 _bcbc _ccopycat _d2 _encip _f20 _gy-gencatlg
942			_2ddc _cBK _n0
999			_c2484 _d2484