01376nam a22003013i 450099100027088970753620230328125711.0040920s1998 it 001 0 ita 887187885Xb13198385-39ule_instBibl. Dip.le Aggr. Scienze Economia - Sez. Settore Economico346.4509Il testo unico della finanza :intermediari e mercati, emittenti, gestione accentrata, sanzioni : commento breve al Dlgs 58/1998 : tutti gli articoli a raffronto con le precedenti disposizioni /a cura di Franco Belli, Francesco Mazzini, Roberto TedeschiMilano :Il sole-24 ore,1998XVIII, 344 p. ;24 cmFinanza & mercatiIntermediari finanziariLegislazioneMercati finanziariLegislazioneBelli, FrancoMazzini, FrancescoTedeschi, Roberto.b1319838518-04-1923-09-04991000270889707536LE025 ECO 346 BEL07.0212025000158283le025Catalogato 2019-E0.00-l-02020.i1385236x23-09-04LE025 SEMS 346.09 BEL01.0112025000107076le025-E0.00-l-00000.i1480800623-07-08Testo unico della finanza67930UNISALENTOle02523-09-04ma-itait3104343nam 22008535 450 991048387940332120251226195840.03-319-23461-710.1007/978-3-319-23461-8(CKB)3890000000001386(SSID)ssj0001558581(PQKBManifestationID)16183018(PQKBTitleCode)TC0001558581(PQKBWorkID)14818821(PQKB)11239302(DE-He213)978-3-319-23461-8(MiAaPQ)EBC5595019(PPN)18846090X(EXLCZ)99389000000000138620150828d2015 u| 0engurnn#008mamaatxtccrMachine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part III /edited by Albert Bifet, Michael May, Bianca Zadrozny, Ricard Gavalda, Dino Pedreschi, Francesco Bonchi, Jaime Cardoso, Myra Spiliopoulou1st ed. 2015.Cham :Springer International Publishing :Imprint: Springer,2015.1 online resource (XXX, 345 p. 122 illus.)Lecture Notes in Artificial Intelligence,2945-9141 ;9286Includes index.3-319-23460-9 The three volume set LNAI 9284, 9285, and 9286 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2015, held in Porto, Portugal, in September 2015. The 131 papers presented in these proceedings were carefully reviewed and selected from a total of 483 submissions. These include 89 research papers, 11 industrial papers, 14 nectar papers, 17 demo papers. They were organized in topical sections named: classification, regression and supervised learning; clustering and unsupervised learning; data preprocessing; data streams and online learning; deep learning; distance and metric learning; large scale learning and big data; matrix and tensor analysis; pattern and sequence mining; preference learning and label ranking; probabilistic, statistical, and graphical approaches; rich data; and social and graphs. Part III is structured in industrial track, nectar track, and demo track.Lecture Notes in Artificial Intelligence,2945-9141 ;9286Data miningArtificial intelligencePattern recognition systemsInformation storage and retrieval systemsDatabase managementApplication softwareData Mining and Knowledge DiscoveryArtificial IntelligenceAutomated Pattern RecognitionInformation Storage and RetrievalDatabase ManagementComputer and Information Systems ApplicationsData mining.Artificial intelligence.Pattern recognition systems.Information storage and retrieval systems.Database management.Application software.Data Mining and Knowledge Discovery.Artificial Intelligence.Automated Pattern Recognition.Information Storage and Retrieval.Database Management.Computer and Information Systems Applications.006.31Bifet Albertedthttp://id.loc.gov/vocabulary/relators/edtMay Michaeledthttp://id.loc.gov/vocabulary/relators/edtZadrozny Biancaedthttp://id.loc.gov/vocabulary/relators/edtGavalda Ricardedthttp://id.loc.gov/vocabulary/relators/edtPedreschi Dinoedthttp://id.loc.gov/vocabulary/relators/edtBonchi Francescoedthttp://id.loc.gov/vocabulary/relators/edtCardoso Jaimeedthttp://id.loc.gov/vocabulary/relators/edtSpiliopoulou Myraedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910483879403321Machine Learning and Knowledge Discovery in Databases3568347UNINA