Vai al contenuto principale della pagina

Advances in Knowledge Discovery and Data Mining : 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part I / / edited by Dinh Phung, Vincent S. Tseng, Geoffrey I. Webb, Bao Ho, Mohadeseh Ganji, Lida Rashidi



(Visualizza in formato marc)    (Visualizza in BIBFRAME)

Titolo: Advances in Knowledge Discovery and Data Mining : 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part I / / edited by Dinh Phung, Vincent S. Tseng, Geoffrey I. Webb, Bao Ho, Mohadeseh Ganji, Lida Rashidi Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Edizione: 1st ed. 2018.
Descrizione fisica: 1 online resource (XXVII, 701 p. 203 illus.)
Disciplina: 006.312
Soggetto topico: Artificial intelligence
Data mining
Computer security
Application software
Information storage and retrieval
Artificial Intelligence
Data Mining and Knowledge Discovery
Systems and Data Security
Information Systems Applications (incl. Internet)
Computer Appl. in Social and Behavioral Sciences
Information Storage and Retrieval
Persona (resp. second.): PhungDinh
TsengVincent S
WebbGeoffrey I
HoBao
GanjiMohadeseh
RashidiLida
Note generali: Includes index.
Sommario/riassunto: This three-volume set, LNAI 10937, 10938, and 10939, constitutes the thoroughly refereed proceedings of the 22nd Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2018, held in Melbourne, VIC, Australia, in June 2018. The 164 full papers were carefully reviewed and selected from 592 submissions. The volumes present papers focusing on new ideas, original research results and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems and the emerging applications. .
Titolo autorizzato: Advances in Knowledge Discovery and Data Mining  Visualizza cluster
ISBN: 3-319-93034-6
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910349435003321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Serie: Lecture Notes in Artificial Intelligence ; ; 10937