Data Mining [[electronic resource] ] : 15th Australasian Conference, AusDM 2017, Melbourne, VIC, Australia, August 19-20, 2017, Revised Selected Papers / / edited by Yee Ling Boo, David Stirling, Lianhua Chi, Lin Liu, Kok-Leong Ong, Graham Williams

• Pubblicazione: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018
• Edizione: 1st ed. 2018.
• Descrizione fisica: 1 online resource (XII, 277 p. 74 illus.)
• Disciplina: 006.3
• Soggetto topico: Data mining; Artificial intelligence; Data Mining and Knowledge Discovery; Artificial Intelligence
• Persona (resp. second.): BooYee Ling; StirlingDavid; ChiLianhua; LiuLin; OngKok-Leong; WilliamsGraham
• Note generali: Includes index.
• Nota di contenuto: Clustering and classification -- Big data -- Time series -- Outlier detection and applications -- Social media and applications.
• Sommario/riassunto: 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.
• Titolo autorizzato: Data Mining
• ISBN: 981-13-0292-8; 978-981-13-0292-3
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910299310603321
• Lo trovi qui: Univ. Federico II
• Serie: Communications in Computer and Information Science, . 1865-0929 ; ; 845