Time:14:00 MARCH 22th
Place: Room 446, 4th Floor, ICT, CAS
Speaker: Prof. Longbing Cao, University of Technology Sydney 

Abstract: 
Coupled behaviors refer to the activities of one to many actors, which are associated with each other in terms of certain relationships. With increasing network and community-based events and applications, such as group-based crime, pool manipulation and social network interactions, behavior couplings contribute to the causes and effects of eventual business problems. Effective approaches for analyzing coupled behaviors are not available, since existing methods mainly focus on individual behavior analysis; mixed attributes, coupling relationships and behavior interactions are often overlooked or not supported. This talk first defines the problem of coupled behavior analysis (CBA problem). A Coupled Hidden Markov Model (CHMM)-based approach is then illustrated to model and detect abnormal group-based trading behaviors and dynamics. Finally, we discuss the prospects of CBA study.

Bio:
Longbing Cao is a professor of information technology at the University of Technology Sydney (UTS). He got one PhD in Pattern Recognition and Intelligent Systems and another in Computing Science. He is the Director of the Advanced Analytics Institute at UTS. He is also the Research Leader of the Data Mining Program at the Australian Capital Markets Cooperative Research Centre. He is a Senior Member of IEEE, SMC Society and Computer Society.