DSAT: Data Sciences, Analytics & Technologies
The Data Sciences, Analytics, and Technologies (DSAT) Symposium is an integral part of the overall IEEE COMPSAC conference. Complementing the COMPSAC theme “Staying Smarter in a Smartening World,” DSAT uniquely positions itself as a forum for both researchers and practitioners in Big Data as it relates to data sciences, data analytics, and associated technologies. DSAT invites authors to present recent findings, innovations, theories, experiences, and ideas. Technical contributions accepted by DSAT will likely cover theory, applications, pragmatics, systems and services enabled by the Web, underlying technologies, data science, e-science, and concomitant big data analytics. The goal of DSAT is to deepen the understanding of, fostering innovation in, and sharing of practical applications around Big Data.
Topic areas to include, but not limited to: Applied data science, Anomaly detection, computational intelligence for Big Data analytics, Business analytics, Business informatics, Data information and knowledge, Data mining, Data warehousing, Exploring and visualizing data, Interactive visualization, Modeling and simulation, Privacy, and Security. Consider potential focus with the interconnected relationships of Big Data, Cloud, Fog, Edge Computing, IoT, mobile computing, and pervasive computing.
Some authors will be invited to submit expanded papers for the IEEE Transactions on Big Data journal COMPSAC special issue.
In partnership with the IEEE Big Data Initiative, COMPSAC is hosting a data analytics and visualization competition. Sample datasets will be made available for the competition. Stay tuned to the COMPSAC website for more information.
DSAT Symposium Co-chairs
Technical Program Chairs
Tsung Teng Chen, National Taipei University, Taiwan
Jie Li, University of Tsukuba, Japan
DSAT Program Committee
To be announced