Conference Description:

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%2 0Papers.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/DMBD A2024
2. Submission Email: [email protected]

Submission guidelines: http://www.dmbda.net/Submission%20Guidel ines.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: [email protected]

*Contact us:
Website: http://www.dmbda.net/
Conference Secretary: Ms. Grace Lee
Tel: (+852) 6359 2147
Email: [email protected]

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.