Data Mining 15th Australasian Conference, AusDM 2017, Melbourne, VIC, Australia, August 19-20, 2017, Revised Selected Papers /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Boo, Yee Ling (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Stirling, David (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Chi, Lianhua (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Liu, Lin (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Ong, Kok-Leong (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, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Communications in Computer and Information Science, 845
• Θέματα: Data mining.; Artificial intelligence.; Data Mining and Knowledge Discovery.; Artificial Intelligence.

 This book constitutes the refereed proceedings of the 15th Australasian Conference on Data Mining, AusDM 2017, held in Melbourne, VIC, Australia, in August 2017. The 17 revised full papers presented together with 11 research track papers and 6 application track papers were carefully reviewed and selected from 31 submissions. The papers are organized in topical sections on clustering and classification; big data; time series; outlier detection and applications; social media and applications. 

 Clustering and classification -- Big data -- Time series -- Outlier detection and applications -- Social media and applications.