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

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
• Edizione: 1st ed. 2018.
• Descrizione fisica: 1 online resource (XXVII, 603 p. 145 illus.)
• Disciplina: 006.3
• 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
• Nota di bibliografia: Includes bibliographical references and 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
• ISBN: 3-319-93037-0
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996465793903316
• Lo trovi qui: Univ. di Salerno
• Serie: Lecture Notes in Artificial Intelligence ; ; 10938