报告题目：Granular Computing: A New Problem Solving Paradigm
报告人：Professor T.Y.Lin
Computer Science San Jose State University
San Jose, California, USA
时间：2005年3月29日下午14：00－15：30
地点：玉泉校区 曹光彪西楼201
Abstract
Granulation is a natural problem-solving methodology deeply rooted in human thinking; it is intrinsically fuzzy, vague and imprecise. Mathematicians and recent rough set community have idealized it into the notion of partition, and developed into a fundamental problem solving methodology. Granulation and partition will be explained in parallel from the prospect of problem solving. The key strength of rough set theory (partition) is the capabilities of processing knowledge in terms of approximation by partitions, table representations and quotient sets (knowledge level information). For general granulation such capabilities are not available yet. In this talk, we will explain how such capabilities can be accomplished for single level granulation (binary granulation): The knowledge processing can be expressed by approximation of granules, table representation and quotient sets (knowledge level processing) in the setting of pre-topological spaces. If time is permitted, we will explain some applications in computer security, data mining and semantic web.
Short Bio
T. Y. Lin is a Chinese American; He received his PH.D. from Yale University, and now he is a professor of Computer Science at San Jose State University, San Jose, California, USA.; And he is a BISC fellow in Berkeley initiative in Soft Computing (BISC), University of California, Berkeley, California He has served as an associate editor and members of advisory or editorial board in several reputable international journals e.g., Data Mining and Knowledge Discovery), and chairs, co-chairs, and members of program committees of many conferences and workshops. He also serves as review panelists for (US) National Science Foundation. His interests include approximate retrievals and reasoning, data, text and web mining, data security, data warehouse and novel computing methodologies (e.g., granular, rough, and soft computing). He received the best contribution award in ICDM01. He is the Task Force Chair of Granular Computing in IEEE-Computational Intelligence Society. He was the Founding President of International Rough Set Society and the 2004 Chair of IEEE-Computer Society, SCV chapter.
欢迎参加。
计算机和软件学院
2005年3月25日
报告人：Professor T.Y.Lin
Computer Science San Jose State University
San Jose, California, USA
时间：2005年3月29日下午14：00－15：30
地点：玉泉校区 曹光彪西楼201
Abstract
Granulation is a natural problem-solving methodology deeply rooted in human thinking; it is intrinsically fuzzy, vague and imprecise. Mathematicians and recent rough set community have idealized it into the notion of partition, and developed into a fundamental problem solving methodology. Granulation and partition will be explained in parallel from the prospect of problem solving. The key strength of rough set theory (partition) is the capabilities of processing knowledge in terms of approximation by partitions, table representations and quotient sets (knowledge level information). For general granulation such capabilities are not available yet. In this talk, we will explain how such capabilities can be accomplished for single level granulation (binary granulation): The knowledge processing can be expressed by approximation of granules, table representation and quotient sets (knowledge level processing) in the setting of pre-topological spaces. If time is permitted, we will explain some applications in computer security, data mining and semantic web.
Short Bio
T. Y. Lin is a Chinese American; He received his PH.D. from Yale University, and now he is a professor of Computer Science at San Jose State University, San Jose, California, USA.; And he is a BISC fellow in Berkeley initiative in Soft Computing (BISC), University of California, Berkeley, California He has served as an associate editor and members of advisory or editorial board in several reputable international journals e.g., Data Mining and Knowledge Discovery), and chairs, co-chairs, and members of program committees of many conferences and workshops. He also serves as review panelists for (US) National Science Foundation. His interests include approximate retrievals and reasoning, data, text and web mining, data security, data warehouse and novel computing methodologies (e.g., granular, rough, and soft computing). He received the best contribution award in ICDM01. He is the Task Force Chair of Granular Computing in IEEE-Computational Intelligence Society. He was the Founding President of International Rough Set Society and the 2004 Chair of IEEE-Computer Society, SCV chapter.
欢迎参加。
计算机和软件学院
2005年3月25日
