Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part II

This three-volume set, LNAI 10937, 10938, and 10939, constitutes the thoroughly refereed proceedings of the 22nd Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2018, held in Melbourne, VIC, Australia, in June 2018.
The 164 full papers were carefully reviewed and selected from 592 submissions. The volumes present papers focusing on new ideas, original research results and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems and the emerging applications.
 

Summary

This three-volume set, LNAI 10937, 10938, and 10939, constitutes the thoroughly refereed proceedings of the 22nd Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2018, held in Melbourne, VIC, Australia, in June 2018.
The 164 full papers were carefully reviewed and selected from 592 submissions. The volumes present papers focusing on new ideas, original research results and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems and the emerging applications.
 

Product details

• Assisted by: Mohadeseh Ganji (Editor), Bao Ho (Editor), Geoffrey I Webb et al (Editor), Dinh Phung (Editor), Lida Rashidi (Editor), Vincen S Tseng (Editor), Vincent S Tseng (Editor), Vincent S. Tseng (Editor), Geoff Webb (Editor), Geoffrey I. Webb (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.2018
• EAN: 9783319930367
• ISBN: 978-3-31-993036-7
• No. of pages: 603
• Dimensions: 156 mm x 37 mm x 235 mm
• Weight: 943 g
• Illustrations: XXVII, 603 p. 145 illus.
• Series: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; Computersicherheit, Datenbank, Expertensystem, C, Internetrecherche, Suchmaschinen, Netzwerksicherheit, Data Mining, Data Warehouse, Artificial Intelligence, angewandte informatik, datensicherheit, Unternehmensanwendungen, Suchmaschine, Datenverarbeitung / Anwendungen / Wissenschaften, Netzwerk (elektronisch), Recherche - Information Retrieval, Internet / Suchmethoden, Spezielle Anwender, Informationsmanagement / Data Warehouse, Data Warehousing, Informationsrückgewinnung, Information Retrieval, Datenverarbeitung / Anwendungen / Betrieb, Verwaltung, Maschine / Suchmaschine, Database, Roboter - Robotik - Industrieroboter, COMPUTERS / Intelligence (AI) & Semantics, Data Mining (EDV), Wissensbasierte Systeme, Expertensysteme, Wissensbasiertes System, Sicherheit / Datensicherheit, Datensicherung, Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften, Datensicherheit / Netz, EDV / Theorie / Sicherheit, computer science, Information Retrieval, Information Systems Applications (incl. Internet), Systems and Data Security, Data and Information Security, Artificial intelligence; Classification; Classification accuracy; Clustering; Computer crime; Computer networks; Data security; Information retrieval; Internet; Learning algorithms; Machine learning; Natural language processing systems; Neural networ, Computer and Information Systems Applications, Application software, Data Mining and Knowledge Discovery, Network Security, Computer security, Internet searching, Expert systems / knowledge-based systems, Computer applications in the social & behavioural sciences, Information Storage and Retrieval, Computer Appl. in Social and Behavioral Sciences, Computer Application in Social and Behavioral Sciences, Computer applications in the social and behavioural sciences