Scope and Topics

Topics of interest include, but are not limited to:

Track 1: Data Science Theory, Algorithms and Architectures

    Foundations of Data Science
    Programming Techniques
    Analytics and Metrics
    Representation Formats
    Cloud Computing Techniques
    Mobile and Pervasive Computing
    Data Management
    Data Quality
    Social Computing
    Social Network Analysis
    Protection, Integrity and Privacy
    Distributed Data Mining
    Visualization

Track 2: Data Science Applications

    Web Intelligence
    Humanities
    Stock Market Analysis
    Scalable Cloud Data Management
    Privacy and Security
    Geosciences
    Manufacturing and Supply Chains
    Earth Science
    Biomedical Informatics
    High dimensional data
    Social Networks
    B2B Marketing and Sales
    Healthcare
    Sustainable development
    Advanced Manufacturing

Track 3: Computational Intelligence for Big Data Processing

    Artificial Neural Networks and Learning methods
    Deep Learning
    Knowledge based systems
    Uncertainty management
    Global optimization methods
    Intelligent Control Systems
    Intelligent Internet Systems
    Intelligent Software Systems
    Parallel Computation
    Pattern Recognition
    Systems Modelling
    Web Mining

Track 4: Data Mining and Applications

    Parallel and distributed data mining algorithms
    Data streams mining
    Time-series data mining
    Graph mining
    Spatial data mining
    Text video, multimedia data mining
    Web mining
    Pre-processing techniques
    Visualization
    Security and information hiding in data mining
    Data mining applications