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