Professor Jiawei Han

Professor Jiawei Han

University of Illinois at Urbaba-Champaign, USA

Title: Towards Integrated Mining of Multiple Social and Information Networks

People and information entities in the real world are interconnected, forming complex, multiple social and information networks. There have been a lot of studies on mining single, independent, homogeneous social and information networks where objects and links are either treated as of the same type, such as friends linking with friends, or treated indiscriminatively, without structural or type distinction. However, real-world objects and links often belong to distinct types, such as students, professors, courses, departments, teach and advise in a university network, and such typed networks form multiple, structured, heterogeneous social and information networks.
We explore methodologies on mining such structured multiple social and information networks and introduce several interesting new mining methodologies, including integrated ranking and clustering, classification, role discovery, data integration, data validation, and similarity search. We show that integrated mining of multiple interconnected social and information networks are powerful at uncovering critical knowledge hidden in large and multiple, interconnected networks.

Short Bio:

Jiawei Han, Professor of Computer Science, University of Illinois at Urbana-Champaign. He has been researching into data mining, information network analysis, database systems, and data warehousing, with over 500 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 is currently the founding Editor-In-Chief of ACM Transactions on Knowledge Discovery from Data and 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, and 2009 IEEE Computer Society Wallace McDowell Award. His book "Data Mining: Concepts and Techniques" (2nd ed., Morgan Kaufmann, 2006) has been adopted as a textbook worldwide.