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    BDML 2021 - 4th International Conference on Big Data and Machine Learning (BDML 2021)

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    Category Big Data and Machine Learning

    Deadline: October 10, 2021 | Date: November 12, 2021-November 14, 2021

    Venue/Country: Chengdu, China

    Updated: 2021-09-22 16:45:41 (GMT+9)

    Call For Papers - CFP

    ★Full Name: 2021 4th International Conference on Big Data and Machine Learning (BDML 2021)--Ei Compendex, Scopus

    ★Abbreviation: BDML 2021


    ★Date: November 12-14, 2021

    ★Place:Chengdu, China

    ★Co-sponsored by: Southwest Jiaotong University

    ★Call for paper★

    -Big Data Analytics

    -Data Science Models and Approaches

    -Algorithms for Big Data

    -Big Data Search and Information Retrieval Techniques

    -Machine Learning Techniques for Big Data

    -Big Data and High Performance Computing

    -Big Data Acquisition, Integration

    -Big Data Acquisition, Integration, Cleaning, and Best Practices

    -Big Data and Deep Learning

    -Scalable Computing Models, Theories, and Algorithms

    -In-Memory Systems and Platforms for Big Data Analytics

    More information, please go to:

    ★ Publication ★

    All submissions will be blind reviewed by the Program Committee on the basis of technical quality, relevance to conference topics of interest, originality, significance, and clarity. All accepted and presented papers will be published in International Conference Proceedings Series, will be submitted and reviewed by Ei Compendex and Scopus.

    ★Submission Methods★

    1. Full paper (publication and presentation)

    2. Abstract (presentation only)

    Please upload full paper or abstract to I-Conference Global Submission System.

    More detail about submission, please visit at


    Ms. Lily Gou


    Tel: +86 18081079313

    Wechat: +86 18081079313

    (Working Hours: Monday-Friday | 10:00am-12:00pm; 13:30pm-17:00pm)

    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.