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    BDML 2020 - International Conference on Big Data and Machine Learning (BDML 2020)

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    Website https://ccsea2020.org/bdml/index.html | Want to Edit it Edit Freely

    Category 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

    Deadline: July 04, 2020 | Date: July 25, 2020-July 26, 2020

    Venue/Country: London, United Kingdom, U.K.

    Updated: 2020-07-03 13:34:16 (GMT+9)

    Call For Papers - CFP

    July 25-26, 2020, London, United Kingdom

    https://ccsea2020.org/bdml/index.html

    Scope & Topics

    International Conference on Big Data and Machine Learning (BDML 2020) 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 include, but are not limited to, the following:

    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

    Complexity Analysis of Algorithms for Mobile Environments

    Cryptography, Security and Privacy of Mobile & Wireless Networks

     Paper Submission

    Authors are invited to submit papers through the conference Submission System by July 04, 2020. 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 2020, after further revisions, will be published in the special issue of the following journal.

    International Journalof Data Mining and Knowledge Management Process(IJDKP)

    International Journal of Database Management Systems (IJDMS)

    Machine Learning and Applications: An International Journal (MLAIJ)

    Information Technology in Industry (ITII)New-ESCI(WOS) Indexed

    Important Dates

    (Submissions after April 04, 2020)

    Submission Deadline : July 04, 2020 (Final Call)

    Authors Notification : July 18, 2020

    Registration & Camera-Ready Paper Due : July 21, 2020

    Contact Us

    Here's where you can reach us: bdmlatccsea2020.org

     


    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.