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    ICBDT 2020 - 3rd International Conference on Big Data Technologies (ICBDT 2020)

    View: 640

    Website http://icbdt.org/ | Edit Freely

    Category Big Data Technologies

    Deadline: July 15, 2020 | Date: September 18, 2020-September 20, 2020

    Venue/Country: Qingdao, China

    Updated: 2020-06-12 15:55:18 (GMT+9)

    Call For Papers - CFP

    ★Full name: 2020 3rd International Conference on Big Data Technologies (ICBDT-2020)

    ★Website: http://icbdt.org/

    ★Time: September 18-20, 2020

    ★Place: Qingdao, China

    2020 3rd International Conference on Big Data Technologies has the goal to be an annual conference for researchers, academicians and industry persons in the field of big data technologies.

    It will be held in Qingdao, China during September 18-20, 2020.

    It's hosted by Shandong University of Science and Technology, China; organized by College of Computer Science and Engineering of Shandong University of Science and Technology, China; and co-organized by Univresity of Jinan, Shandong University, Guizhou University, Shandong Normal University, Qingdao University.

    ★★ Publication | Call for Papers

    Accepted papers will be included into ICBDT 2020 conference proceedings.

    It will be published in the International Conference Proceedings Series, which will be published in the International Conference Proceedings Series by ACM, which will be archived in ACM Digital Library, and indexed by EI Compendex, Scopus, and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science).

    The ISBN number assigned to ICBDT 2020 is 978-1-4503-8785-9

    ICBDT 2019 Proceedings | ISBN: 978-1-4503-7192-6 | Archived into ACM Digital Library | Ei Compendex & SCOPUS Index

    ICBDT 2018 Proceedings | ISBN: 978-1-4503-6427-0 | Archived into ACM Digital Library | Ei Compendex & SCOPUS Index

    ICBDT has kept a good indexing history, for details: http://icbdt.org/history.html

    ★Local Support★

    ICBDT 2020 is hosted by Shandong University of Science and Technology, China; organized by College of Computer Science and Engineering of Shandong University of Science and Technology, China; and co-organized by Univresity of Jinan, Shandong University, Guizhou University, Shandong Normal University, Qingdao University.

    ★Call for paper★

    Topic about Deep Big Data Technologies

    Data Visualization and Visual Analytics, Big Data Algorithms, Applications and Services, Big Data Processing and Querying, Algorithmic, experimental, prototyping and implementation, Natural Language Processing in Big Texts, Biomedical imaging pre-processing and Analysis, Structured and Unstructured Data/Text/Web Mining, Scalable computational intelligence tools, Evolutionary and Bio-inspired approaches for Big Data analysis, New domains and novel applications related to Big Data technologies.etc.

    For details about topics, please visit at http://icbdt.org/cfp.html

    ★Submission★

    1. Full paper (publication and presentation)

    For full paper, please upload it to the Electronic Submission System: http://confsys.iconf.org/submission/icbdt2020

    2. Abstract (presentation)

    For abstract, please send it to icbdt@young.ac.cn

    More detail about submission, please visit at http://icbdt.org/author.html#sub

    ★★Conference Schedule★★

    September 18, 2020---Sign-in for ICBDT 2020 (Conference Material Collection)

    September 19, 2020(Morning)---- Opening Remarks & Keynote Speech

    September 19, 2020(Afternoon)---- Author Presentation

    September 20, 2020(Morning)---- Opening Remarks & Keynote Speech

    September 20, 2020(Afternoon)---- Author Presentation

    ★★Contact:

    Ms. Robin Luo

    Tel: +86-18227609313 | +86-28-86527868

    Email: icbdt@young.ac.cn

    Website: www.icbdt.org

    Wechat Account: 18227609313


    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.