Conference Information
BigCom 2017 : International Conference on Big Data Computing and Communication
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Chengdu, China
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Call For Papers
Big Data promises to reshape tomorrow’s knowledge, society and economy. The technologies that are used to generate, collect, process, compute and communicate Big Data have made significant progresses in the past few years. Such a disruptive technology inevitably poses a number of significant challenges on the underlying system design. The International Conference on Big Data Computing and Communications (BigCom2017), which is to be held on August 17-19, Chengdug, Sichuan, China, aims to address these challenges. The conference is targeted to attract researchers and practitioners who are interested in Big Data analytics, management, security and privacy, communication and high performance computing in its broadest sense. We welcome original, unpublished research papers that emphasize theoretical foundations, modeling, algorithmic methodologies, and data-driven applications. We also welcome visionary papers on new and emerging topics. The related topics include but not limited to the following:

    Data-intensive Parallel and Distributed Computing (Clouds, Clusters, Grids, P2P)
    Sampling and Pre-processing for Big Data
    Data Streams Computing Techniques
    Heterogeneous Source Computing
    Scalability and Elasticity in Big Data Environments
    Performance Analysis of Big Data Tools and Applications
    Computing on Network Edge
    Modeling and Algorithms for Big Data Analytics and Data Mining
    Knowledge Mining from Big data
    Network and Graph Mining
    High Dimensional Data Mining
    Data Mining Techniques for Sensor Data
    Data Mining Techniques for Social Networks
    Security and Legal Issue in Mobile Applications/Apps
    Privacy of Open Data
    Access Control and Authentication
    Pricing modeling and policy
    Big Data Storage, Indexing, Searching and Querying
    Big Data Quality Management
    Heterogeneous Data Management
    Knowledge Management and Ontology Engineering
    Unstructured Data Modeling
    Scheduling and Resource Management in Big Data Environments
    Spatial, Temporal, Multimedia and Scientific Databases
    Database and Data Warehouse Technologies for Big data
Last updated by Dou Sun in 2017-01-29
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