Big Data lies at the center of modern science and technology, with major advances in analyzing & learning from Big Data concurrently reshaping human knowledge, society, and economy. The overwhelming amounts of data generated in many applications (fundamental sciences, cyber-physical systems, smart cities, sensor networks, and many more) alongside the urge for fast and effective handling and decision-making, in real-time, pose a number of significant challenges on the underlying system design and methods.

The 9th International Conference on Big Data Computing and Communications (BigCom2023), which is to be held on Aug. 4-6, 2023 in Qionghai, China. The conference aims to attract researchers and practitioners with interest in the theme of Big Data, in its broadest sense: analytics, management, security and privacy, communications, and high-performance computing. We welcome original, unpublished research papers that emphasize theoretical foundations, modeling, algorithmic methodologies, and data-driven applications in science and engineering. We also welcome visionary papers on new and emerging topics.

The related topics include but are not limited to:

Computing

    Data-intensive Parallel and Distributed Computing (Clouds, Clusters, Grids, P2P)
    Performance Analysis of Big Data Tools and Applications
    Computing on Network Edge
    Large-scale Optimization Methods

Mining

    Modeling and Algorithms for Big Data Analytics and Data Mining
    Knowledge Mining from Big data
    Network and Graph Mining
    High Dimensional Data Mining

Security

    Security and Legal Issue in Mobile Applications/Apps
    Privacy of Open Data
    Trust and Privacy Issues in Mobile Commerce Environment
    Cryptographic Protocols

Networking

    Artificial Intelligence & Internet of Things
    Cyber-physical Systems
    Wireless Networks
    Multi-agent Systems

Management

    Big Data Storage, Indexing, Searching and Querying
    Big Data Quality Management
    Heterogeneous Data Management
    Database and Data Warehouse Technologies for Big data

Applications

    Infrastructures and Frameworks of Data-driven Applications
    Mobile Device Apps based on Big Data
    Big Data for Healthcare
    Big Data for Smart Cities