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    DMBDA 2024 - 2024 7th International Conference on Data Mining and Big Data Analytics

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    Website http://www.dmbda.net/ | Want to Edit it Edit Freely

    Category Data Mining, Big Data Analytics

    Deadline: November 20, 2024 | Date: December 20, 2024-December 22, 2024

    Venue/Country: Nanjing, China

    Updated: 2024-03-15 15:45:01 (GMT+9)

    Call For Papers - CFP

    2024 7th International Conference on Data Mining and Big Data Analytics

    (DMBDA 2024)

    Website: http://www.dmbda.net/

    Venue: Nanjing, China (both online and in-person)

    Conference Date: Dec. 20-22, 2024

    2024 7th International Conference on Data Mining and Big Data Analytics(DMBDA 2024) will be held in Nanjing, China during Dec. 20-22, 2024. It is sponsored by Nanjing University and The International Society for Applied Computing (ISAC).

    During the upcoming conference, the invited renowned professors will share with us the recent innovations in the fields of Data Mining and Big Data Analytics. The conference will mainly feature on keynote speeches as well as peer-reviewed paper presentations. In addition, social program or academic visit will be arranged to encourage communication, discussion or cooperation among the researchers in this field.

    We invite submissions of papers presenting an original high-quality research and development for the conference. All papers must be written in English and will be peer-reviewed by technical committees of the Conference and all accepted papers will be published in the conference proceedings.

    *Conference Speakers:

    Keynote Speaker I:

    Distinguished Prof. Wanyang Dai, Nanjing University, China

    Keynote Speaker II: Prof. Xiangtao Li, Jilin University, China

    Keynote Speaker III: Assoc. Prof. Wei Wang, Xi'an Jiaotong-Liverpool University, China

    Keynote Speaker IV:

    Prof. Tan Ying, Peking University, China

    Keynote Speaker V:

    Prof. Liming (Luke) Chen, Ulster University, UK

    *Call for papers:

    Data Mining

    Big Data Analytics Algorithms and Systems for Big Data Search

    Data mining foundations

    Foundational Models for Big Data

    Distributed, and Peer-to-peer Search

    Grand challenges of data mining

    Algorithms and Programming Techniques for Big Data Processing

    Machine learning based on Big Data

    Parallel and distributed data mining algorithms

    Big Data Analytics and Metrics

    Visualization Analytics for Big Data

    Mining on data streams

    Representation Formats for Multimedia Big Data

    Big Data Economics

    Graph mining Cloud Computing Techniques for Big Data

    Real-life Case Studies of Value Creation through Big Data Analytics

    Spatial data mining

    Big Data as a Service

    Big Data for Business Model Innovation

    Text, video, multimedia data mining Big Data Open Platforms

    Big Data Toolkits (for more topics:http://www.dmbda.net/Call%20for%20Papers.html)

    *Publication and indexing:

    ★DMBDA 2024 Conference Proceedings will be published by IEEE, which will be archived in IEEE Xplore and indexed by EI Compendex, Scopus and CPCI (ISTP).

    ★DMBDA 2023 Conference Proceedings: published by CPS (ISBN: 979-8-3503-0444-2), indexed by IEEE Xplore, EI Compendex, Scopus !

    ★DMBDA 2022 Conference Proceedings: published by IEEE (ISBN: 978-1-6654-9868-5), indexed by IEEE Xplore, EI Compendex, Scopus !

    ★DMBDA 2021 Conference Proceedings: published by ACM (ISBN: 978-1-4503-9024-8), indexed by EI Compendex and Scopus !

    ★DMBDA 2020 Conference Proceedings: published by ACM (ISBN: 978-1-4503-7604-4), indexed by EI Compendex and Scopus !

    ★DMBDA 2019 Conference Proceedings: published by ACM (ISBN: 978-1-4503-7141-4), indexed by EI Compendex and Scopus !

    ★DMBDA 2018 Conference Proceedings: published by ACM (ISBN: 978-1-4503-6521-5), indexed by EI Compendex and Scopus !

    *Submission Methods:

    1. Online Submission System: https://cmt3.research.microsoft.com/DMBDA2024

    2. Submission Email: dmbdaatapplied-computing.net

    Submission guidelines: http://www.dmbda.net/Submission%20Guidelines.html

    *Join the conference as: Authors: Authors are expected to submit full papers to the submission system for further review by our Technical Committees. All accepted papers after proper registration and presentation in the conference will be published and submitted for indexing.

    Presenters Only: The presenters are expected to submit abstracts only for presentation in the conference without paper publication in the conference proceedings.

    Listeners: Listeners are expected to attend the conference without paper presentation or publication.

    Reviewers:

    PhD-holders in the research fields of Data Mining and Big Data Analytics are welcome to be our reviewers and a certificate can be issued.

    Sponsors/Partners: If you are interested in cooperating with us, such as sponsoring or being a partner of DMBDA 2024, you are welcome to contact us at: dmbdaatapplied-computing.net

    *Contact us:

    Website: http://www.dmbda.net/

    Conference Secretary: Ms. Grace Lee

    Tel: (+852) 6359 2147

    Email: dmbdaatapplied-computing.net

    If you have any question or request about our conference, no matter regarding submission, registration, participation or any further question, please send email to us and you will get feedback within 24 hours.


    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.