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3rd International Conference on Big Data and Machine Learning (BDML 2022) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data and Machine Learning. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Big Data and Machine Learning.


Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Big Data and Machine Learning

Topics of interest

    Big Data

  • Big Data Techniques, models and algorithms
  • Big Data Infrastructure and platform
  • Big Data Search and Mining
  • Big Data Security, Privacy and Trust
  • Big Data Applications, Bioinformatics, Multimedia etc
  • Big Data Tools and systems
  • Big Data Mining
  • Big Data Management
  • Cloud and grid computing for Big Data
  • Machine Learning and AI for Big Data
  • Big Data Analytics and Social Media
  • 5G and Networks for Big Data

    Machine learning

  • Machine Learning Applications
  • Learning in knowledge-intensive systems
  • Learning Methods and analysis
  • Learning Problems
  • Deep Learning
Paper Submission

Authors are invited to submit papers through the conference Submission System by CLOSED. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).


Selected papers from BDML 2022, after further revisions, will be published in the special issue of the following journals


  • International Journal of Data Mining & Knowledge Management Process (IJDKP)
  • International Journal of Database Management Systems (IJDMS)
  • Machine Learning and Applications: An International Journal (MLAIJ)
  • Advances in Vision Computing: An International Journal (AVC)
  • International Journal of Grid Computing & Applications (IJGCA)
  • Information Technology in Industry (ITII)New- ESCI(WOS) Indexed
  • Important Dates

    Third Batch : (Submissions after February 05, 2022)


    calendar_todaySubmission Deadline : CLOSED

    calendar_todayAuthors Notification : March 19, 2022

    calendar_todayRegistration & Camera-Ready Paper Due : March 21, 2022
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    CONFERENCE PROCEEDINGS


    Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC digital library.

    Speakers


    Priyanka Addagudi
    StFrancis Xavier University, Canada


    Luo Ning
    Intel Asia-Pacific Research & Development Ltd, China


    Kunhao Li
    State Key Laboratory of Software Development Environment, China


    Mathieu Febvay
    Université de Lyon,
    France


    Meghashyam Ashwathnarayan
    Infineon Technologies Pvt Ltd, India


    Linlin Zhang
    Intel Asia-Pacific Research & Development Ltd,
    China


    Yosi Ben Asher
    University of Haifa, Israel


    Prasang Gupta
    PwCUS, India


    Yang Liu
    The George Washington University, USA


    Yuting Xue
    Xidian University,
    China


    Chun-Hsien Lin
    National Taiwan University,
    Taiwan


    Lea Matlekovic
    University of Southern Denmark,
    Denmark


    Hazirah Bee Yusof Ali
    International Islamic University Malaysia, Malaysia


    Magne Jørgensen
    Simula Metropolitan Center for Digital Engineering, Norway


    Qinglin He
    Shanghai University,
    China


    Hristo Petkov
    University of Strathclyde
    United Kingdom


    Yuan Shi
    Beijing Institute of Technology
    China


    Karuppiah Aravindhan
    Texas Instruments India Ltd,
    India


    Mridula Prakash
    Department of Chief Technology Officer, India


    Srishti Mehra
    University of California Berkeley, USA


    Iftikha U Sikder
    Cleveland State University,
    USA


    Dodo Khan
    UniversitiTeknologi PETRONAS, Malaysia


    Xiangyu Xia
    Beijing City University,
    China


    David Noever
    PeopleTec, Inc.,
    USA


    Baskaran Chidambaram
    Texas Instruments India Ltd, India


    Pawan Nayak
    Texas Instruments India Ltd, India


    Yahya Ali Aseri
    King Khalid University, Saudi Arabia

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    Reach Us

    emailbdml@ccsea2022.org


    emailbdmlconf@yahoo.com

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