Advances in Knowledge Discovery and Data Mining, 1st ed. 2017 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part II Lecture Notes in Artificial Intelligence Series
Coordonnateurs : Kim Jinho, Shim Kyuseok, Cao Longbing, Lee Jae-Gil, Lin Xuemin, Moon Yang-Sae
The 129 full papers were carefully reviewed and selected from 458 submissions. They are organized in topical sections named: classification and deep learning; social network and graph mining; privacy-preserving mining and security/risk applications; spatio-temporal and sequential data mining; clustering and anomaly detection; recommender system; feature selection; text and opinion mining; clustering and matrix factorization; dynamic, stream data mining; novel models and algorithms; behavioral data mining; graph clustering and community detection; dimensionality reduction.
Includes supplementary material: sn.pub/extras
Includes supplementary material: sn.pub/extras
Date de parution : 04-2017
Ouvrage de 857 p.
15.5x23.5 cm
Thèmes d’Advances in Knowledge Discovery and Data Mining :
Mots-clés :
crowdsourcing; recommender systems; security; statistical methods for data mining; Web mining; anomaly detection; classification; clustering; data mining; decision trees; deep learning; dynamic networks; feature extraction; genetic algorithm; high performance data mining; intrusion detection; knowledge-base; machine learning; theoretic foundations; visual data mining
