Biograph: Qinghua Zhang, the professor of Chongqing University of Posts and Telecommunications, Ph.D of Computer Science, Doctoral supervisor; Academic Technology Leader of Chongqing; Young and Middle-aged key teacher of Universities in Chongqing; Distinguished member of Chinese Association for Artificial Intelligence（CAAI）; Vice-Chairman of Chongqing Association for Artificial Intelligence; Senior member of International Rough Set Society; Executive director and secretary-general of Committee of Granular Computing and Knowledge Discovery of CAAI; Member of big data Committee of China Computer Federation. Currently, he is the Dean of the School of Computer Science/Artificial Intelligence of Chongqing University of Posts and Telecommunications. His research interests include uncertain information processing, big data intelligent analysis and decision making, granular computing theory and its applications. And he has more than 100 reviewed research publications, and is the author of 5 books.
Title: Multi-granularity Cognitive Computing for Big Data
Abstract: This talk mainly introduces the research status and current trend of big data. Cognitive data has become a key issue in the field of intelligent decision-making. In order to understand the truth behind complex big data and reveal its knowledge and rules, this talk introduces the theoretical model and method of multi-granularity cognitive computing, and analyzes the composition and decomposition of data granules from different theoretical models such as rough sets, fuzzy sets and quotient spaces. And then, we will discuss the law of dynamic data from two dimensions, namely, extension and intension of an uncertain concept. Combining with the cloud model, the bidirectional cognitive computing from data to knowledge is introduced, thus we can realize the more clear cognition for the uncertain concepts.