LEADER 02647nam 2200685 450 001 9910465753503321 005 20200520144314.0 010 $a1-118-72924-2 010 $a1-118-72913-7 035 $a(CKB)3710000000648992 035 $a(EBL)4513913 035 $a(SSID)ssj0001654821 035 $a(PQKBManifestationID)16435199 035 $a(PQKBTitleCode)TC0001654821 035 $a(PQKBWorkID)14846115 035 $a(PQKB)10200804 035 $a(PQKBManifestationID)16234284 035 $a(PQKBWorkID)14846127 035 $a(PQKB)20844457 035 $a(MiAaPQ)EBC4513913 035 $a(DLC) 2015047680 035 $a(JP-MeL)3000065404 035 $a(Au-PeEL)EBL4513913 035 $a(CaPaEBR)ebr11206184 035 $a(CaONFJC)MIL917134 035 $a(OCoLC)950463395 035 $a(EXLCZ)993710000000648992 100 $a20160518h20162016 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aData mining for business analytics $econcepts, techniques, and applications in Microsoft Office Excel with XLMiner /$fGalit Shmueli, Nitin R. Patel, Peter C. Bruce 205 $aThird edition. 210 1$aHoboken, New Jersey :$cWiley,$d2016. 210 4$dİ2016 215 $a1 online resource (583 p.) 300 $aIncludes index. 300 $aOriginally published as: Data mining for business intelligence, 2007. 311 $a1-118-72927-7 311 $a1-118-72947-1 320 $aIncludes bibliographical references and index. 327 $aOverview 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. 606 $aBusiness$xData processing 606 $aData mining 608 $aElectronic books. 615 0$aBusiness$xData processing. 615 0$aData mining. 676 $a005.54 700 $aShmueli$b Galit$f1971-$0893002 702 $aPatel$b Nitin R$g(Nitin Ratilal), 702 $aBruce$b Peter C.$f1953- 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910465753503321 996 $aData mining for business analytics$91994611 997 $aUNINA