Advances in Knowledge Discovery and Data Mining, 1st ed. 2016 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part II Lecture Notes in Artificial Intelligence Series
Coordonnateurs : Bailey James, Khan Latifur, Washio Takashi, Dobbie Gill, Huang Joshua Zhexue, Wang Ruili
This two-volume set, LNAI 9651 and 9652, constitutes the thoroughly refereed proceedings of the 20th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2016, held in Auckland, New Zealand, in April 2016.
The 91 full papers were carefully reviewed and selected from 307 submissions. They are organized in topical sections named: classification; machine learning; applications; novel methods and algorithms; opinion mining and sentiment analysis; clustering; feature extraction and pattern mining; graph and network data; spatiotemporal and image data; anomaly detection and clustering; novel models and algorithms; and text mining and recommender systems.Includes supplementary material: sn.pub/extras
Date de parution : 04-2016
Ouvrage de 572 p.
15.5x23.5 cm
Thèmes d’Advances in Knowledge Discovery and Data Mining :
Mots-clés :
cloud-based high performance data mining; cyber-security; distributed data mining; healthcare; ubiquitous knowledge discovery; agent-based data mining; anomaly detection; bioinformatics; data mining; data warehousing; human factors; interactive mining; intrusion detection; marketing; OLAP; opinion mining; parallel data mining; security; social factors; statistical methods