LEADER 01424nam0-2200409---45-- 001 990000824790203316 005 20101119132854.0 010 $a88-14-01083-8 035 $a0082479 035 $aUSA010082479 035 $a(ALEPH)000082479USA01 035 $a0082479 100 $a20011227d1987----km-y0ITAy01------ba 101 $aita 102 $aIT 105 $a||||||||001yy 200 1 $a<> investment banks negli Stati Uniti d'America$fStefano Preda 210 $aMilano$cGiuffrè$d1987 215 $aXI, 148 p.$d24 cm 225 2 $aUniversità L. Bocconi, Dipartimento di economia aziendale$v102 225 $aEconomia e politica delle aziende di credito$v43 410 0$12001$aUniversità L. Bocconi, Dipartimento di economia aziendale$v102 410 $12001$aEconomia e politica delle aziende di credito$v43 606 $aBanche$xInvestimenti$yStati Uniti d'America 676 $a332.660973 700 1$aPREDA,$bStefano$083921 801 0$aIT$bsalbc$gISBD 912 $a990000824790203316 951 $aXXX.B. Coll. 193/ 53 (X 32 XXI 43)$b63858 EC$cXXX.B. Coll. 193/ 53 (X 32 XXI)$d00291271 959 $aBK 969 $aECO 979 $aPATTY$b90$c20011227$lUSA01$h1007 979 $c20020403$lUSA01$h1728 979 $aPATRY$b90$c20040406$lUSA01$h1657 979 $aRSIAV2$b90$c20101119$lUSA01$h1328 996 $aInvestment banks negli Stati Uniti d'America$9419436 997 $aUNISA LEADER 03289nam 22006855 450 001 9910337855103321 005 20251113183221.0 010 $a3-030-17274-0 024 7 $a10.1007/978-3-030-17274-9 035 $a(CKB)4100000007881236 035 $a(DE-He213)978-3-030-17274-9 035 $a(MiAaPQ)EBC5921816 035 $a(PPN)235668451 035 $a(EXLCZ)994100000007881236 100 $a20190406d2019 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning and Data Mining for Sports Analytics $e5th International Workshop, MLSA 2018, Co-located with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings /$fedited by Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (X, 179 p. 57 illus., 41 illus. in color.) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v11330 300 $aIncludes index. 311 08$a3-030-17273-2 330 $aThis book constitutes the refereed post-conference proceedings of the 5th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2018, colocated with ECML/PKDD 2018, in Dublin, Ireland, in September 2018. The 12 full papers presented together with 4 challenge papers were carefully reviewed and selected from 24 submissions. The papers present a variety of topics, covering the team sports American football, basketball, ice hockey, and soccer, as well as the individual sports cycling and martial arts. In addition, four challenge papers are included, reporting on how to predict pass receivers in soccer. . 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v11330 606 $aArtificial intelligence 606 $aData mining 606 $aComputer science$xMathematics 606 $aMathematical statistics 606 $aPattern recognition systems 606 $aArtificial Intelligence 606 $aData Mining and Knowledge Discovery 606 $aProbability and Statistics in Computer Science 606 $aAutomated Pattern Recognition 615 0$aArtificial intelligence. 615 0$aData mining. 615 0$aComputer science$xMathematics. 615 0$aMathematical statistics. 615 0$aPattern recognition systems. 615 14$aArtificial Intelligence. 615 24$aData Mining and Knowledge Discovery. 615 24$aProbability and Statistics in Computer Science. 615 24$aAutomated Pattern Recognition. 676 $a006.31 676 $a006.31 702 $aBrefeld$b Ulf$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDavis$b Jesse$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aVan Haaren$b Jan$c(Data scientist)$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZimmermann$b Albrecht$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910337855103321 996 $aMachine learning and data mining for sports analytics$91949689 997 $aUNINA