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1. Big Data Foundations
    a. Novel Theoretical Models for Big Data
    b. New Computational Models for Big Data
    c. Data and Information Quality for Big Data
    d. New Data Standards

2. Big Data Infrastructure

    a. Cloud/Grid/Stream Computing for Big Data
    b. High Performance/Parallel Computing Platforms for Big Data
    c. Autonomic Computing and Cyber-infrastructure, System Architectures, Design and Deployment
    d. Energy-efficient Computing for Big Data
    e. Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data
    f. Software Techniques and Architectures in Cloud/Grid/Stream Computing
    g. Big Data Open Platforms
    h. New Programming Models for Big Data beyond Hadoop/MapReduce, STORM
    i. Software Systems to Support Big Data Computing

3. Big Data Management
    a. Advanced database and Web Applications
    b. Novel Data Model and Databases for Emerging Hardware
    c. Data Preservation
    d. Data Provenance‎
    e. Interfaces to Database Systems and Analytics Software Systems
    f. Data Protection, Integrity and Privacy Standards and Policies
    g. Information Integration and Heterogeneous and Multi-structured Data Integration
    h. Data management for Mobile and Pervasive Computing
    i. Data Management in the Social Web
    j. Crowdsourcing
    k. Spatiotemporal and Stream Data Management
    l. Scientific Data Management
    m. Workflow Optimization
    n. Database Management Challenges: Architecture, Storage, User Interfaces

4. Big Data Search and Mining

    a. Social Web Search and Mining
    b. Web Search
    c. Algorithms and Systems for Big Data Search
    d. Distributed, and Peer-to-peer Search
    e. Big Data Search Architectures, Scalability and Efficiency
    f. Data Acquisition, Integration, Cleaning, and Best Practices
    g. Visualization Analytics for Big Data
    h. Computational Modeling and Data Integration
    i. Large-scale Recommendation Systems and Social Media Systems
    j. Cloud/Grid/Stream Data Mining- Big Velocity Data
    k. Link and Graph Mining
    l. Semantic-based Data Mining and Data Pre-processing
    m. Mobility and Big Data
    n. Multimedia and Multi-structured Data- Big Variety Data

5. Big Data Security & Privacy

    a. Intrusion Detection for Gigabit Networks
    b. Anomaly and APT Detection in Very Large Scale Systems
    c. High Performance Cryptography
    d. Visualizing Large Scale Security Data
    e. Threat Detection using Big Data Analytics
    f. Privacy Threats of Big Data
    g. Privacy Preserving Big Data Collection/Analytics
    h. HCI Challenges for Big Data Security & Privacy
    i. User Studies for any of the above
    j. Sociological Aspects of Big Data Privacy

6. Big Data Applications

    a. Complex Big Data Applications in Science, Engineering, Medicine, Healthcare, Finance, Business, Law, Education,
        Transportation, Retailing, Telecommunication
    b. Big Data Analytics in Small Business Enterprises (SMEs),
    c. Big Data Analytics in Government, Public Sector and Society in General
    d. Real-life Case Studies of Value Creation through Big Data Analytics
    e. Big Data as a Service
    f. Big Data Industry Standards
    g. Experiences with Big Data Project Deployments



Last update: 26 Dec 2012