Vai al contenuto principale della pagina

Advances in Data Mining. Applications and Theoretical Aspects [[electronic resource] ] : 17th Industrial Conference, ICDM 2017, New York, NY, USA, July 12-13, 2017, Proceedings / / edited by Petra Perner



(Visualizza in formato marc)    (Visualizza in BIBFRAME)

Titolo: Advances in Data Mining. Applications and Theoretical Aspects [[electronic resource] ] : 17th Industrial Conference, ICDM 2017, New York, NY, USA, July 12-13, 2017, Proceedings / / edited by Petra Perner Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Edizione: 1st ed. 2017.
Descrizione fisica: 1 online resource (XI, 346 p. 123 illus.)
Disciplina: 006.3
Soggetto topico: Data mining
Application software
Artificial intelligence
Computer system failures
Programming languages (Electronic computers)
Computer programming
Data Mining and Knowledge Discovery
Information Systems Applications (incl. Internet)
Artificial Intelligence
System Performance and Evaluation
Programming Languages, Compilers, Interpreters
Programming Techniques
Persona (resp. second.): PernerPetra
Nota di contenuto: Theoretical aspects of data mining -- Applications of data mining -- Multimedia data, in marketing, in medicine -- Process control in industry and society.
Sommario/riassunto: This book constitutes the refereed proceedings of the 17th Industrial Conference on Advances in Data Mining, ICDM 2017, held in New York, NY, USA, in July 2017. The 27 revised full papers presented were carefully reviewed and selected from 71 submissions. The topics range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, in medicine, and in process control in industry and society.
Titolo autorizzato: Advances in Data Mining. Applications and Theoretical Aspects  Visualizza cluster
ISBN: 3-319-62701-5
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996466299703316
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Serie: Lecture Notes in Artificial Intelligence ; ; 10357