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    BDAML 2022 - 2022 International Conference on Big Data Analysis and Machine Learning(BDAML 2022)

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    Website http://www.bdaml.net/ | Want to Edit it Edit Freely

    Category Big Data Analysis and Machine Learning

    Deadline: May 10, 2022 | Date: July 20, 2022-July 22, 2022

    Venue/Country: Suzhou, China

    Updated: 2022-04-15 11:36:05 (GMT+9)

    Call For Papers - CFP

    Abbreviation: BDAML 2022

    Full Name: 2022 International Conference on Big Data Analysis and Machine Learning

    Suzhou, China

    July 20-22, 2022

    http://www.bdaml.net/

    Publication

    Accepted papers after proper registration and presentation, will be published in the ICSIP 2022 conference Proceedings as special chapter, and will be indexed by Ei Compendex and Scopus.

    Call for Papers

    ☆ Data and Big Data Science

    Information Retrieval

    Big Data Analytics

    Data Science Models and Approaches

    Algorithms for Big Data

    ☆ Machine Learning Theory and Applications

    Multi-modal Machine learning

    Weakly supervised learning

    Reinforcement learning and applications

    Data Mining and Machine Learning Tools

    Fuzzy Logic

    ☆ Artificial Intelligence Technology and Application

    NLP sentimental analysis

    Graph neural networks and applications

    AI Algorithms

    Artificial Intelligence tools & Applications, Bioinformatics

    Intelligent image and video analysis

    More topics: http://www.bdaml.net/cfp.html

    Submission Methods

    Full Paper (publication and oral presentation)

    Abstract (oral presentation only)

    Electronic Submission System (.pdf)

    http://confsys.iconf.org/submission/bdaml2022 or send it directly to conference email: bdamlconfat163.com

    Contacts

    Ms. Nina Lee

    E-mail: bdamlconfat163.com

    Tel: 86-28-83207566


    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.