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

DMBDA 2023


Data Mining & Analysis



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!