May 25, Jiawei Han, Bliss Professor of Computer Science, University of Illinois at Urbana-Champaign gave a Distinguished Lecture entitled “Data Mining in Heterogeneous Information Networks” during his visit at IIIS.
In his lecture, Prof. Han pointed out that Many objects in the real world are interconnected, forming complex heterogeneous but semi-structured information networks and heterogeneous information networks reflect complex and structured relationships among multiple typed objects. He explored new methodologies for mining hidden knowledge and also presented a few promising research directions on mining heterogeneous information networks.
Prof. Han has been researching into data mining, information network analysis, database systems, and data warehousing, with over 600 journal and conference publications. He has chaired or served on many program committees of international conferences, including PC co-chair for KDD, SDM, and ICDM conferences, and Americas Coordinator for VLDB conferences. He also served as the founding Editor-In-Chief of ACM Transactions on Knowledge Discovery from Data and is serving as the Director of Information Network Academic Research Center supported by U.S. Army Research Lab. He is a Fellow of ACM and IEEE, and received 2004 ACM SIGKDD Innovations Award, 2005 IEEE Computer Society Technical Achievement Award, 2009 IEEE Computer Society Wallace McDowell Award, and 2011 Daniel C. Drucker Eminent Faculty Award at UIUC. His book "Data Mining: Concepts and Techniques" has been used popularly as a textbook worldwide.