02647nam 2200685 450 991046575350332120200520144314.01-118-72924-21-118-72913-7(CKB)3710000000648992(EBL)4513913(SSID)ssj0001654821(PQKBManifestationID)16435199(PQKBTitleCode)TC0001654821(PQKBWorkID)14846115(PQKB)10200804(PQKBManifestationID)16234284(PQKBWorkID)14846127(PQKB)20844457(MiAaPQ)EBC4513913(DLC) 2015047680(JP-MeL)3000065404(Au-PeEL)EBL4513913(CaPaEBR)ebr11206184(CaONFJC)MIL917134(OCoLC)950463395(EXLCZ)99371000000064899220160518h20162016 uy 0engur|n|---|||||txtccrData mining for business analytics concepts, techniques, and applications in Microsoft Office Excel with XLMiner /Galit Shmueli, Nitin R. Patel, Peter C. BruceThird edition.Hoboken, New Jersey :Wiley,2016.©20161 online resource (583 p.)Includes index.Originally published as: Data mining for business intelligence, 2007.1-118-72927-7 1-118-72947-1 Includes bibliographical references and index.Overview of the data mining process -- Data visualization -- Dimension reduction -- Evaluating predictive performance -- Multiple linear regression -- k-Nearest Neighbors (kNN) -- The Naive Bayes Classifier -- Classification and regression trees -- Logistic regression -- Neural nets -- Discriminant analysis -- Combining methods : ensembles and uplift modeling -- Association rules and collaborative filtering -- Cluster analysis -- Handling time series -- Regression-based forecasting -- Smoothing methods -- Social network analytics -- Text mining.BusinessData processingData miningElectronic books.BusinessData processing.Data mining.005.54Shmueli Galit1971-893002Patel Nitin R(Nitin Ratilal),Bruce Peter C.1953-MiAaPQMiAaPQMiAaPQBOOK9910465753503321Data mining for business analytics1994611UNINA