02766nam 2200649 450 991014614590332120230721005113.01-119-96547-01-282-13830-897866121383000-470-75386-20-470-75385-4(CKB)1000000000719682(EBL)427923(OCoLC)437111489(SSID)ssj0000353923(PQKBManifestationID)11251612(PQKBTitleCode)TC0000353923(PQKBWorkID)10302283(PQKB)11496169(MiAaPQ)EBC427923(MiAaPQ)EBC4041355(Au-PeEL)EBL4041355(CaPaEBR)ebr11114250(OCoLC)958543972(MiAaPQ)EBC4433052(Au-PeEL)EBL4433052(EXLCZ)99100000000071968220220314d2009 uy 0engur|n|---|||||txtccrBusiness intelligence data mining and optimization for decision making /Carlo Vercellis1st ed.Chichester, West Sussex, United Kingdom :Wiley,2009.1 online resource (437 p.)Description based upon print version of record.0-470-51139-7 0-470-51138-9 Includes bibliographical references and index.Business 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; IndexBusiness 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 busineDecision makingMathematical modelsDecision support systemsMathematical modelsDecision makingMathematical models.Decision support systemsMathematical models.658.4033Vercellis Carlo437644MiAaPQMiAaPQMiAaPQBOOK9910146145903321Business intelligence103379UNINA