Data Mining [[electronic resource] ] : 17th Australasian Conference, AusDM 2019, Adelaide, SA, Australia, December 2–5, 2019, Proceedings / / edited by Thuc D. Le, Kok-Leong Ong, Yanchang Zhao, Warren H. Jin, Sebastien Wong, Lin Liu, Graham Williams

• Pubblicazione: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
• Edizione: 1st ed. 2019.
• Descrizione fisica: 1 online resource (XII, 257 p. 127 illus., 108 illus. in color.)
• Disciplina: 006.3
• Soggetto topico: Data mining; Machine learning; Application software; Education—Data processing; Data Mining and Knowledge Discovery; Machine Learning; Computer Appl. in Social and Behavioral Sciences; Information Systems Applications (incl. Internet); Computers and Education
• Persona (resp. second.): LeThuc D; OngKok-Leong; ZhaoYanchang; JinWarren H; WongSebastien; LiuLin; WilliamsGraham
• Note generali: Includes index.
• Nota di contenuto: Research Track -- Application Track -- Industry Showcase. .
• Sommario/riassunto: This book constitutes the refereed proceedings of the 17th Australasian Conference on Data Mining, AusDM 2019, held in Adelaide, SA, Australia, in December 2019. The 20 revised full papers presented were carefully reviewed and selected from 56 submissions. The papers are organized in sections on research track, application track, and industry showcase. .
• Titolo autorizzato: Data Mining
• ISBN: 981-15-1699-5
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910357849203321
• Lo trovi qui: Univ. Federico II
• Serie: Communications in Computer and Information Science, . 1865-0929 ; ; 1127