LEADER 02643nam 2200649 450 001 9910208955403321 005 20210929120140.0 010 $a1-118-95084-4 010 $a1-118-95095-X 010 $a1-118-33258-X 035 $a(CKB)3710000000373020 035 $a(SSID)ssj0001367765 035 $a(PQKBManifestationID)11784425 035 $a(PQKBTitleCode)TC0001367765 035 $a(PQKBWorkID)11445883 035 $a(PQKB)11772928 035 $a(DLC) 2014037576 035 $a(Au-PeEL)EBL1840836 035 $a(CaPaEBR)ebr10984189 035 $a(CaONFJC)MIL663028 035 $a(PPN)189169958 035 $a(CaSebORM)9781118950807 035 $a(MiAaPQ)EBC1840836 035 $a(OCoLC)896796372 035 $a(EXLCZ)993710000000373020 100 $a20141120h20152015 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aData mining algorithms $eexplained using R /$fPawe? Cichosz 210 1$aChichester, England :$cWiley,$d2015. 210 4$dİ2015 215 $a1 online resource (718 pages) $cillustrations 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a1-322-31746-1 311 $a1-118-95080-1 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aPart I. Preliminaries -- 1. Tasks -- 2. Basic statistics -- Part II. Classification -- 3. Decision trees -- 4. Nae?ive Bayes classifier -- 5. Linear classification -- 6. Misclassification costs -- 7. Classification model evaluation -- Part III. Regression -- 8. Linear regression -- 9. Regression trees -- 10. Regression model evaluation -- Part IV. Clustering -- 11. (Dis)similarity measures -- 12. k-Centers clustering -- 13. Hierarchical clustering -- 14. Clustering model evaluation -- Part V. Getting better models -- 15. Model ensembles -- 16. Kernel methods -- 17. Attribute transformation -- 18. Discretization -- 19. Attribute selection. 330 $a"This book narrows down the scope of data mining by adopting a heavily modeling-oriented perspective"--$cProvided by publisher. 606 $aData mining 606 $aComputer algorithms 606 $aR (Computer program language) 615 0$aData mining. 615 0$aComputer algorithms. 615 0$aR (Computer program language) 676 $a006.3/12 686 $aMAT029000$2bisacsh 700 $aCichosz$b Pawel$0863579 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910208955403321 996 $aData mining algorithms$91927486 997 $aUNINA