Keynote Speech【3】

Prof. Tzung-Pei Hong 洪宗貝教授


National University of Kaohsiung, Taiwan


Tzung-Pei Hong received his Ph.D. degree in computer science and information engineering from National Chiao-Tung University in 1992. He served as the first director of the library and computer center, the Dean of Academic Affairs and the Vice President in National University of Kaohsiung, Taiwan. He is currently a distinguished professor at the Department of Computer Science and Information Engineering in NUK, and a joint professor at the Department of Computer Science and Engineering, National Sun Yat-sen University, Taiwan. He got the first national flexible wage award from Ministry of Education in Taiwan. He has published more than 500 research papers in international/national journals and conferences. His current research interests include knowledge engineering, data mining, soft computing, and management information systems.

Topic: Integration of Data Mining and Computational Intelligence

Data mining discovers useful rules or patterns from a set of data. Its role is more and more important in the era of big data because it can provide compact and relevant knowledge instead of detailed data to users. Meanwhile, the research of computational intelligence has been very popular because it combines some intelligent approaches such as fuzzy logic, evolutionary computation and neural networks to make programs or systems effective and efficient, although the solutions may not be optimal. In this speech, I would like to link the techniques of computational intelligence and data mining together for different kinds of mining problems. Some extended topics are described and discussed as well.