2021 4th International Conference on Data Mining and Big Data (DMBD 2021) Website: http://www.dmbd2021.net/ Venue: Shanghai, China Conference Date: July 23-25, 2021 2021 4th International Conference on Data Mining and Big Data (DMBD 2021) will be held in Shanghai, China during July 23-25, 2021. It is sponsored by The International Society for Applied Computing (ISAC), Tokyo University of Science, Japan and Cisco Networking Academy. During the upcoming conference, the invited renowned professors will share with us the recent innovations in the fields of Data Mining and Big Data. 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. Qing Li, The Hong Kong Polytechnic University, Hong Kong Keynote Speaker II: Distinguished Prof. Rung-Ching Chen, Chaoyang University of Technology, Taiwan (IET Fellow) Keynote Speaker III: Prof. Tok Wang Ling, National University of Singapore, Singapore Keynote Speaker IV: Assoc. Prof. Ma Maode, Nanyang Technological University, Singapore (IET Fellow / Chair of the ACM, Singapore Chapter) Plenary Speaker I: Prof. Shigeo Akashi, Tokyo University of Science, Japan Plenary Speaker II: Prof. Yulin Wang, Wuhan University, China *Call for papers: (for more topics: http://www.dmbd2021.net/topic.html ) Big data foundations Big data architectures Big Data management Applications of Big data Reasoning on Big data Big data analytics for prediction Deep Analytics Data Streams Mining Web mining Graph Mining Spatial Data Mining Multimedia Data Mining Pre-processing Techniques *Publication and indexing: ★All accepted and registered papers will be included in the Conference Proceedings and published by ACM (ISBN: 978-1-4503-9024-8), which will be archived in the ACM Digital Library, and indexed by Ei Compendex and Scopus. ★DMBD 2020 all accepted papers have been published by ACM and indexed by EI Compendex and Scopus successfully within 1 month after publication. (See details) ★DMBD 2019 all accepted papers have been published by ACM and indexed by EI Compendex and Scopus successfully within 1 month after publication. (See details) ★DMBD 2018 all accepted papers have been published by ACM and indexed by EI Compendex and Scopus successfully within 2 months after publication. (See details) *Submission Methods: 1. Online Submission System: https://cmt3.research.microsoft.com/DMBDnet2021 2. Submission Email: firstname.lastname@example.org Submission guidelines: http://www.dmbd2021.net/submission.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 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 DMBD 2021, you are welcome to contact us at: email@example.com *Contact us: Website: http://www.dmbd2021.net/ Conference Secretary: Ms. Luna Tel: +852 5319 3049 Email: firstname.lastname@example.org 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.