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[null,"1.","Record Nr.",null,"UNINA990005839890403321"]
[null,null,"Titolo",null,"ANEDDOTI carducciani / a cura di Dante Manetti"]
[null,null,"Pubbl/distr/stampa",null,"Roma : A.F. Formfggini, 1932"]
[null,null,"Descrizione fisica",null,"230 p. ; 21 cm"]
[null,null,"Locazione",null,"FLFBC"]
[null,null,"Collocazione",null,"BIBL.FOL. 494"]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNISALENTO991002322229707536"]
[null,null,"Autore",null,"Copland, Aaron"]
[null,null,"Titolo",null,"Come ascoltare la musica / Aaron Copland"]
[null,null,"Pubbl/distr/stampa",null,"Milano : Garzanti, 1984"]
[null,null,"Descrizione fisica",null,"184 p. ; 19 cm."]
[null,null,"Collana",null,"Strumemti di studio"]
[null,null,"Soggetti",null,"Musica"]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"3.","Record Nr.",null,"UNINA9910337855103321"]
[null,null,"Titolo",null,"Machine Learning and Data Mining for Sports Analytics : 5th International Workshop, MLSA 2018, Co-located with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings / / edited by Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019"]
[null,null,"ISBN",null,"3-030-17274-0"]
[null,null,"Edizione",null,"[1st ed. 2019.]"]
[null,null,"Descrizione fisica",null,"1 online resource (X, 179 p. 57 illus., 41 illus. in color.)"]
[null,null,"Collana",null,"Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 11330"]
[null,null,"Disciplina",null,"006.31"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Data mining"]
[{"$nulls":4},"Computer science - Mathematics"]
[{"$nulls":4},"Mathematical statistics"]
[{"$nulls":4},"Pattern recognition systems"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[{"$nulls":4},"Probability and Statistics in Computer Science"]
[{"$nulls":4},"Automated Pattern Recognition"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Includes index."]
[null,null,null,"Sommario/riassunto","This 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. ."]