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    BMLI 2021 - 2nd International Conference on Big Data, Machine Learning and IoT (BMLI 2021)

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    Website https://inwes2021.org/bmli/index | 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

    Deadline: October 02, 2021 | Date: December 11, 2021-December 12, 2021

    Venue/Country: Chennai, India, India

    Updated: 2021-09-27 18:22:31 (GMT+9)

    Call For Papers - CFP

    December 11 ~ 12, 2021, Chennai, India

    https://inwes2021.org/bmli/index

    Scope

    2nd International Conference on Big Data, Machine Learning and IoT (BMLI 2021) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data, Machine Learning and IoT.

    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, Machine Learning and IoT.

    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

    Computer Vision

    Bayesian Network

    Data Mining

    Internet of Things

    IoT Connectivity and Networking

    Electronics and Signal processing for IoT

    IoT Experimental Results and Deployment Scenarios

    IoT Applications and Services

    IoT Security and Privacy

    IoT-enabled Innovation and Entrepreneurship

    Emerging Standards for an Internet of Things

    IoT communication Systems and Network Infrastructures

    RFID and Tagging Technologies

    Web Services

    Paper Submission

    Authors are invited to submit papers through the Submission System by October 02, 2021. 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 BMLI 2021, after further revisions, will be published in the special issue of the following journals

    International Journal of Database Management Systems (IJDMS)

    International Journal of Data Mining & Knowledge Management Process (IJDKP)

    International Journal on Web Service Computing (IJWSC)

    Machine Learning and Applications: An International Journal (MLAIJ)

    Advances in Vision Computing: An International Journal (AVC)

    Important Dates

    Submission Deadline : October 02, 2021

    Authors Notification : November 15, 2021

    Registration & Camera-Ready Paper Due : November 23, 2021

    Contact Us

    Here’s where you can reach us : bmliconfe@yahoo.com or bmli@inwes2021.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.