Advances in Knowledge Discovery and Data Mining

This two-volume set, LNAI 9077 + 9078, constitutes the refereed proceedings of the 19th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2015, held in Ho Chi Minh City, Vietnam, in May 2015.

The proceedings contain 117 paper carefully reviewed and selected from 405 submissions. They have been organized in topical sections named: social networks and social media; classification; machine learning; applications; novel methods and algorithms; opinion mining and sentiment analysis; clustering; outlier and anomaly detection; mining uncertain and imprecise data; mining temporal and spatial data; feature extraction and selection; mining heterogeneous, high-dimensional, and sequential data; entity resolution and topic-modeling; itemset and high-performance data mining; and recommendations.

• classification
• clustering
• collaborative computing
• data streams
• factorization methods
• information retrieval
• kernel methods
• learning paradigms
• machine learning
• machine learning algorithms
• probabilistic reasoning
• recommender systems
• retrieval tasks and goals
• sentiment analysis
• social computing
• social networks
• supervised learning
• temporal data
• uncertainty
• unsupervised learning

• Ho Chi Minh City University of Technology, Ho Chi Minh City, Vietnam

  Tru Cao

• Singapore Management University, Singapore, Singapore

  Ee-Peng Lim

• Nanjing University, Nanjing, China

  Zhi-Hua Zhou

• Japan Advanced Institute of Science and Technology, Nomi City, Japan

  Tu-Bao Ho

• The University of Hong Kong, Hong Kong, Hong Kong SAR

  David Cheung

• Osaka University, Osaka, Japan

  Hiroshi Motoda

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