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    BDML 2024 - 7th International Conference on Big Data and Machine Learning (BDML 2024)

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    Category Big Data and Machine Learning

    Deadline: August 10, 2024 | Date: September 20, 2024-September 22, 2024

    Venue/Country: Xiamen, China

    Updated: 2023-11-29 16:09:14 (GMT+9)

    Call For Papers - CFP

    ★Full Name: 2024 7th International Conference on Big Data and Machine Learning (BDML 2024)

    ★Abbreviation: BDML 2024


    ★Date: September 20-22, 2024

    ★Location: Xiamen, China

    ★Co-Sponsored by: Huaqiao University, Wuhan Institute of Technology

    ★ Publication ★

    All submissions will be peer reviewed by 2-3 reviewers, and all the accepted papers will be published in International Conference Proceedings., will be submitted and reviewed by Ei Compendex and Scopus.

    ★Call for paper★

    1) 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

    - 5G and Networks for Big Data

    -Cloud and grid computing for Big Data

    -Machine Learning and AI for Big Data

    -Big Data Analytics and Social Media

    2) Machine learning

    -Machine Learning Applications

    -Learning in knowledge-intensive systems

    -Learning Methods and analysis

    -Learning Problems

    -Deep Learning

    -Computer Vision

    -Data Mining

    More information, please go to:

    ★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. Camellia Zheng


    Tel: +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.