Prof. Zaher AL Aghbari

Mining Big Data: Experiences with Social Network
 

Social network sites are playing a great role in our daily lives. Be it an individual or a company, one cannot deny the importance of these sites as they help people communicate and exchange information regardless of their geographical locations. Analyzing social networks has received a lot of attention form the Data Mining community to provide new techniques for discovering new knowledge from social networks. In this talk, we discuss some techniques, for detecting communities, finding influential users, and searching for individuals, or teams, on social networks.  These techniques utilize the interests of nodes (users) as well as the relationships between users. Moreover, this talk will highlight the use of Big Data technologies such as MapReduce and Spark in implementing those techniques.

BIO: Prof. Dr. Zaher Al Aghbari received his B.Sc degree from the Florida Institute of Technology, Melbourne, USA, in 1987, and the M.Sc. and Ph.D. degrees in computer science from Kyushu University, Fukuoka, Japan, in 1998 and 2001, respectively. He was with at the Department of Intelligent Systems, Kyushu University, Japan, from 2001 to 2003. From 2003 to 2008, he was with the Computer Science Department, University of Sharjah, UAE. Since 2008 he has been the Chairperson for the Department of Computer Science, University of Sharjah, UAE. His research interests include multimedia databases, data mining, multidimensional indexing, distributed indexing, data streams management, image/video semantic representation and classification, and Arabic handwritten text retrieval.