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    BDSIC 2019 - BDSIC 2019 CFP on Big-data Service and Intelligent Computation in Wuhan, China

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    Category Big-data Service;Intelligent Computation;ACM

    Deadline: June 01, 2019 | Date: October 18, 2019-October 20, 2019

    Venue/Country: Wuhan, China, China

    Updated: 2019-04-08 12:04:29 (GMT+9)

    Call For Papers - CFP

    Conference official website:

    Meeting time:October 18-20, 2019.

    Meeting place:Wuhan, China.

    Host unit:ACM Singapore Chapter.

    keynote speaker:

    Prof. Chin-Chen Chang from Feng Chia University in Taiwan

    Published by:

    Accepted papers will be published into International Conference Proceedings, which is indexed by EI Compendex, Scopus, Inspec etc.

    Call for Papers:

    Foundational theoretical or computational models for big data.

    Innovative, concurrent, and scalable big data platforms.

    Data indexing, cleaning, transformation, and curation technologies.

    Visualization analytics for big data.

    urban planning, disaster management, security.

    Experiences and case studies of big data applications and services.

    Compressed Sensing and Sparse Coding.

    Natural Computing.

    Neural Networks.

    Signal Processing.

    Pattern Recognition.

    Biometrics Recognition.

    Image Processing.

    Information Security.

    Important Dates

    Deadline (full text) : June 01 2019.

    Deadline (abstract) : June 25, 2019.

    Registration Deadline: July 20, 2019.

    Conference Contact :Ms. Ivy Wu


    Tel: +86-021-59561560

    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.