TOPICS INTERESTED BUT NOT LIMITED

• Mathematical, probabilistic and statistical models and theories
• Machine learning theories, models and systems
• Knowledge discovery theories, models and systems
• Manifold and metric learning
• Deep learning
• Scalable analysis and learning
• Heterogeneous data/information integration
• Data pre-processing, sampling and reduction
• Dimensionality reduction
• Feature selection, transformation and construction
• Large scale optimization
• High performance computing for data analytics
• Architecture, management and process for data science
• Data warehouses, cloud architectures
• Large-scale databases
• Information and knowledge retrieval, and semantic search
• Web/social/databases query and search
• Personalized search and recommendation
• Human-machine interaction and interfaces
• Crowdsourcing and collective intelligence

• Learning for streaming data
• Learning for structured and relational data
• Latent semantics and insight learning
• Mining multi-source and mixed-source information
• Mixed-type and structure data analytics
• Cross-media data analytics
• Big data visualization, modeling and analytics
• Multimedia/stream/text/visual analytics
• Relation, coupling, link and graph mining
• Personalization analytics and learning
• Web/online/social/network mining and learning
• Structure/group/community/network mining
• Cloud computing and service data analysis

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