Data Mining 17th Australasian Conference, AusDM 2019, Adelaide, SA, Australia, December 2-5, 2019, Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Le, Thuc D. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Ong, Kok-Leong (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Zhao, Yanchang (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Jin, Warren H. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Wong, Sebastien (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Liu, Lin (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Williams, Graham (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Communications in Computer and Information Science, 1127
• Θέματα: 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.
• Φυσική περιγραφή: XII, 257 p. 127 illus., 108 illus. in color. online resource.
• ISBN: 9789811516993
• ISSN: 1865-0929 ;
• DOI: 10.1007/978-981-15-1699-3

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. .