Lecture topic: Rough Set Method and Its Application in Data Mining
Lecturer: Dr. Yang Guowu, doctoral supervisor
Organization of lecturer: University of Electronic Science and Technology of China
Lecture time: April 29, 2019
Lecture location: Mingli Building B306
Host organization: SWPU Science and Technology Department, School of Computer Science
Lecture abstract:
Rough set theories are widely used in information processing in nondeterministic environments. Data mining technologies based on rough set theories are gaining the attention of computer scientists and mathematicians. This report is going to describe the development and basic characteristics of rough set theories, their applications in machine learning, typical data mining systems based on rough set, research fields and directions for rough set theories, and the necessity of combining rough set theories with other intelligent methods for processing information.
About the lecturer:
Dr. Yang Guowu, professor and doctoral supervisor, current faculty member in School of Computer Science and Engineering, UESTC, vice president of Quantum Computing Working Group of IEEE Computational Intelligence Society. He obtained Ph.D. in June 2005 from Department of Electrical and Computer Engineering, Portland State University. He was an associate researcher in Department of Computer Science, Portland State University from August 2005 to August 2006. His research field is electrical and computer engineering. He has published 57 papers, of which 22 are indexed by SCI, 31 by EI, and 16 by ISTP EI.
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