DMBDA 2023 - 2023 6th International Conference on Data Mining and Big Data Analytics (DMBDA 2023)

2023 6th International Conference on Data Mining and Big Data Analytics
(DMBDA 2023)
Website: http://www.dmbda.net/
Venue: Shanghai, China
Conference Date: July 28-30, 2023
2023 6th International Conference on Data Mining and Big Data Analytics (DMBDA 2023) will be held in Shanghai, China during July 28-30, 2023. DMBDA 2023 is the workshop of DSIT 2023 which is co-organized by Shanghai Jiao Tong University, China and The International Society for Applied Computing (ISAC). It is sponsored by Shanghai Jiao Tong University, China, The International Society for Applied Computing (ISAC), Tokyo University of Science, Japan, Cisco Networking Academy, and The Technical Institute for Engineers (T.I.E.).
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:
Chair Prof. Chin-Chen Chang, Feng Chia University,Taiwan (IEEE Fellow and CS Fellow, IET Fellow, AAIA Fellow)
Keynote Speaker II:
Prof. Qing Li, The Hong Kong Polytechnic University, Hong Kong (IEEE Fellow)
Keynote Speaker III:
Prof. Tok Wang Ling, National University of Singapore, Singapore (ACM Distinguished Scientist, IEEE Senior Life Member)
Keynote Speaker IV:
Distinguished Prof. Wanyang Dai, Nanjing University, China
Keynote Speaker V:
Prof. Jie Yang, Shanghai Jiao Tong University, China
Keynote Speaker VI:
Prof. Shigeo Akashi, Tokyo University of Science, Japan
Keynote Speaker VII:
Assoc. Prof. WONG Ka Chun, City University of Hong Kong, Hong Kong
*Call for papers:
Data Mining
Big Data Analytics
Data mining foundations
Spatial data mining
Big Data as a Service
Big Data Open Platforms
Big Data Toolkits
Foundational Models for Big Data
Distributed, and Peer-to-peer Search
Grand challenges of data mining
Learning based on Big Data
Parallel and distributed data mining algorithms
Big Data Economics
Cloud Computing Techniques for Big Data
Real-life Case Studies of Value Creation through Big Data Analytics
Big Data for Business Model Innovation
Text, video, multimedia data mining
Web mining Big Data in Mobile and Pervasive Computing
Big Data in Business Performance Management
(for more topics: http://www.dmbda.net/Call%20for%20Papers.html)
*Publication and indexing:
★All accepted and registered papers will be included in DSIT 2023 Conference Proceedings (DMBDA 2023 is the workshop of DSIT 2023) and will be published and submitted for indexing by Ei Compendex and Scopus.
★DMBDA 2022 conference papers have been published by IEEE (ISBN: 978-1-6654-9868-5) and indexed by IEEE Xplore, EI Compendex, Scopus successfully within 1 month after publication!
★DMBDA 2021 conference papers have been published by ACM (ISBN: 978-1-4503-9024-8) and indexed by EI Compendex and Scopus successfully within 1 month after publication!
★DMBDA 2020 conference papers have been published by ACM (ISBN: 978-1-4503-7604-4) and indexed by EI Compendex and Scopus successfully within 1 month after publication!
★DMBDA 2019 conference papers have been published by ACM (ISBN: 978-1-4503-7141-4) and indexed by EI Compendex and Scopus successfully within 1 month after publication!
★DMBDA 2018 conference papers have been published by ACM (ISBN: 978-1-4503-6521-5) and indexed by EI Compendex and Scopus successfully within 2 months after publication!
*Submission Methods:
1. Online Submission System: https://cmt3.research.microsoft.com/DMBDA2023
2. Submission Email: dmbda-AT-applied-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 2023, you are welcome to contact us at: dmbda-AT-applied-computing.net
*Contact us:
Website: http://www.dmbda.net/
Conference Secretary: Ms. Grace Lee
Tel: (+852) 6359 2147
Email: dmbda-AT-applied-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.