Fu-Shing Sun joined Ball State University in 2002. He regularly teaches data-related courses including data analytics, data mining, and database. He conducts research in data mining related area, in particular data clustering, data classification, and text mining. His recent work focuses on mining social network news to understand how different types of news being broadcast and consumed over various news channels.
- Ph.D., Computer Science, University of Texas at Dallas, 1998.
- M.S., Computer Science, University of Texas at Dallas, 1995.
- Data Mining
- Web Systems
- Mobile Applications
Sampling of Recent Scholarly Activity
PUBLICATIONS - REFEREED
Mesarosh, K., Sun, F.-S. (2017). A Framework for Analyzing Online Customer Ratings (pp. 401-404). Las Vegas, Nevada: 2017 25th International Conference on Systems Engineering (ICSEng).
Sun, X., Sun, F.-S. (2016). A Hybrid Approach to Detecting Traffic Anomaly in Large-Scale Data Networks (pp. 1418-1419). Las Vegas, Nevada: 2016 International Conference on Computational Science and Computational Intelligence.
Sun, F.-S., Weng, Y.-H. (2014). iDMineral – designing a mobile app for mineral identification. In M. Searson & M. Ochoa (Eds.), Proceedings of SITE 2014--Society for Information Technology & Teacher Education International Conference (pp. 1697-1701). Jacksonville, Florida, United States: Association for the Advancement of Computing in Education (AACE).
Faculty-maintained Web site