Data Mining [[electronic resource] ] : 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, Australia, November 28–30, 2018, Revised Selected Papers / / edited by Rafiqul Islam, Yun Sing Koh, Yanchang Zhao, Graco Warwick, David Stirling, Chang-Tsun Li, Zahidul Islam

• Pubblicazione: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
• Edizione: 1st ed. 2019.
• Descrizione fisica: 1 online resource (XV, 398 p. 177 illus., 100 illus. in color.)
• Disciplina: 787.61
• Soggetto topico: Data mining; Machine learning; Application software; Computer security; Data Mining and Knowledge Discovery; Machine Learning; Information Systems Applications (incl. Internet); Systems and Data Security
• Persona (resp. second.): IslamRafiqul; KohYun Sing; ZhaoYanchang; WarwickGraco; StirlingDavid; LiChang-Tsun; IslamZahidul
• Nota di contenuto: Classification tasks -- Transport, Environment and Energy -- Applied Data Mining -- Privacy and Clustering -- Statistics in Data Science -- Health, Software and Smart Phone -- Image Data Mining -- Industry Showcase.
• Sommario/riassunto: This book constitutes the refereed proceedings of the 16th Australasian Conference on Data Mining, AusDM 2018, held in Bathurst, NSW, Australia, in November 2018. The 27 revised full papers presented together with 3 short papers were carefully reviewed and selected from 80 submissions. The papers are organized in topical sections on classification task; transport, environment, and energy; applied data mining; privacy and clustering; statistics in data science; health, software and smartphone; image data mining; industry showcase.
• Titolo autorizzato: Data Mining
• ISBN: 981-13-6661-6
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910350232803321
• Lo trovi qui: Univ. Federico II
• Serie: Communications in Computer and Information Science, . 1865-0929 ; ; 996