Data Mining and Big Data Analytics Technical Committee
Who We Are
The Data Mining and Big Data Analytics Technical Committee (DMTC) is established to: (1) promote the research, development, education and understanding the principles and applications of data mining and big data analytics and (2) to help researchers whose background is primarily in computational intelligence in increasing their contributions to this area.
What We Do
The DMTC shall engage in various activities in order to advance the goals described above, including but not limited to the following:
- Identify and promote new areas of research
- Propose special sessions to the CIS-sponsored conference organizers
- Publicize success stories on solving real data mining problems
- Participate in paper review and selection for CIS-sponsored conferences and publications
- Recommend candidates/papers for awards and collaborate on production of tutorials and book series with the Multimedia Committee
- The DMTC will also assist in soliciting proposals for focused workshops or special sessions and actively work with the organizers of CIS-sponsored conferences to ensure their technical excellence
- Grant Scott, Chair
- Ahmad Taher Azar and Guandon Xu, Vice Chairs
Current directory of Chairs and members: Data Mining and Big Data Analytics Technical Committee Members
DMTC members are appointed to serve one year term. Reappointment is allowed.
Chair is appointed by CIS President. 2 Vice Chairs are appointed by Chair and endorsed by CIS VP of Technical Activities. TC Members are appointed by Chair and endorsed by CIS VP of Technical Activities. (Number of members varies, typically less than 20)
If you are interested in being considered for a position on one of our Technical Committees, please send an email to email@example.com with a link to your CV.
- Big Data, Chair: Longzhi Yang Vice-chairs: Chengyu Liu and Wenbing Zhao.
- Data Science and Advanced Analytics, Chair: Longbin Cao, Vice Chairs: Eric Gaussier, Bart Goethals, George Karypis, Vincent S. Tseng.
- Educational Data Mining, Chair: Gang Li, Vice Chairs: Ly Tran, Christos Douligeris, Aswani Kumar Cherukuri, Xiaoliang Fan.
- Medical Data Analysis, Chair: José D. Martín, Vice Chairs: Paulo Lisboa, Alfredo Vellido.
- Process Mining, Chair: Boudewijn van Dongen, Vice Chairs: Moe Wynn.
- Granular Data Mining for Big Data, Chair: Weiping Ding, Vice Chairs: Witold Pedrycz, Zehong Cao.
- Reservoir Computing, Chair: Claudio Gallicchio, Vice Chairs: Alessio Micheli.
- Explainable Machine Learning, Chair: Alfredo Vellido, Vice Chairs: Paulo Lisboa, Qi Chen.
- High dimensional data analysis, Chair: Ata Kaban, Vice-Chairs: Prof. Dr. Frank-Michael Schleif, and Prof. Dr Thomas Villmann.