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100   $a20220314d2009      uy             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aBusiness intelligence $edata mining and optimization for decision making /$fCarlo Vercellis
205   $a1st ed.
210  1$aChichester, West Sussex, United Kingdom :$cWiley,$d2009.
215   $a1 online resource (437 p.)
300   $aDescription based upon print version of record.
311   $a0-470-51139-7 
311   $a0-470-51138-9 
320   $aIncludes bibliographical references and index.
327   $aBusiness Intelligence; Contents; Preface; I Components of the decision-making process; II Mathematical models and methods; III Business intelligence applications; Appendix A Software tools; Appendix B Dataset repositories; References; Index
330   $aBusiness intelligence is a broad category of applications and technologies for gathering, providing access to, and analyzing data for the purpose of helping enterprise users make better business decisions. The term implies having a comprehensive knowledge of all factors that affect a business, such as customers, competitors, business partners, economic environment, and internal operations, therefore enabling optimal decisions to be made. Business Intelligence provides readers with an introduction and practical guide to the mathematical models and analysis methodologies vital to busine
606   $aDecision making$xMathematical models
606   $aDecision support systems$xMathematical models
615  0$aDecision making$xMathematical models.
615  0$aDecision support systems$xMathematical models.
676   $a658.4033
700   $aVercellis$b Carlo$0437644
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910146145903321
996   $aBusiness intelligence$9103379
997   $aUNINA