LEADER 01023nam1 2200349 450 001 990006069680203316 005 20150908100330.0 035 $a000606968 035 $aUSA01000606968 035 $a(ALEPH)000606968USA01 035 $a000606968 100 $a20150908d--------km-y0itay50------ba 101 0 $aita 102 $aIT 105 $a||||||||001yy 200 1 $aTeatro completo$fAnton Cecov$gtraduzione dal russo con introduzione di Carlo Grabher 210 $aFirenze$cVallecchi 215 $avolumi$d20 cm 225 2 $aClassici moderni 410 0$12001$aClassici moderni 463 \1$1001990006069690203316$12001 $a<<2:>> Liescij$a<> gabbiano$aZio Vania 676 $a891.72 700 1$a?EHOV,$bAnton Pavlovi?$027405 702 1$aGRABHER,$bCarlo 801 0$aIT$bsalbc$gISBD 912 $a990006069680203316 951 $aXV.9.M. 1005/$bMAR$cXV.9.M. 959 $aBK 969 $aMAR 979 $aIANNONE$b90$c20150908$lUSA01$h1003 996 $aTeatro completo$91101813 997 $aUNISA LEADER 03106nam 22006134a 450 001 9910780454403321 005 20230617023822.0 010 $a1-280-35280-9 010 $a9786610352807 010 $a0-7645-6907-4 035 $a(CKB)111090529068374 035 $a(EBL)183845 035 $a(OCoLC)271809716 035 $a(SSID)ssj0000135025 035 $a(PQKBManifestationID)11154840 035 $a(PQKBTitleCode)TC0000135025 035 $a(PQKBWorkID)10058219 035 $a(PQKB)11632883 035 $a(MiAaPQ)EBC183845 035 $a(Au-PeEL)EBL183845 035 $a(CaPaEBR)ebr10114278 035 $a(CaONFJC)MIL35280 035 $a(OCoLC)55141423 035 $a(EXLCZ)99111090529068374 100 $a20031209d2004 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aData mining techniques$b[electronic resource] $efor marketing, sales, and customer relationship management /$fMichael J.A. Berry, Gordon S. Linoff 205 $a2nd ed. 210 $aIndianapolis, Ind. $cWiley Pub.$dc2004 215 $a1 online resource (671 p.) 300 $aIncludes index. 311 $a0-471-47064-3 327 $aWhy and what is data mining? -- The virtuous cycle of data mining -- Data mining methodology and best practices -- Data mining applications in marketing and customer relationship management -- The lure of statistics: data mining using familiar tools -- Decision trees -- Artificial neural networks -- Nearest neighbor approaches : memory-based reasoning and collaborative filtering -- Market basket analysis and association rules -- Link analysis -- Automatic Cluster detection -- Knowing when to worry: hazard functions and survival analysis in marketing -- Genetic algorithms -- Data mining throughout the customer life cycle -- Data warehousing, OLAP, and data mining -- Building the data mining environment -- Preparing data for mining -- Putting data mining to work. 330 $aPacked with more than forty percent new and updated material, this edition shows business managers, marketing analysts, and data mining specialists how to harness fundamental data mining methods and techniques to solve common types of business problems Each chapter covers a new data mining technique, and then shows readers how to apply the technique for improved marketing, sales, and customer support The authors build on their reputation for concise, clear, and practical explanations of complex concepts, making this book the perfect introduction to data mining More advanced ch 606 $aData mining 606 $aMarketing$xData processing 606 $aBusiness$xData processing 615 0$aData mining. 615 0$aMarketing$xData processing. 615 0$aBusiness$xData processing. 676 $a658.8/02 700 $aBerry$b Michael J. A$0145032 701 $aLinoff$b Gordon$0145033 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910780454403321 996 $aData mining techniques$93803952 997 $aUNINA