Mining Knowledge from Databases: An Information Network Analysis Approach


May 21, 2010


Jiawei Han


University of Illinois at Urbana-Champaign


Most people consider a database is merely a data repository that supports data storage and retrieval.
Actually, a database contains rich, inter-related, multi-typed data and information, forming one or a set of gigantic, interconnected, heterogeneous information networks. Much knowledge can be derived from such information networks if we systematically develop an effective and scalable database-oriented information network analysis technology.

In this talk, we introduce database-oriented information network analysis methods and demonstrate how information networks can be used to improve data quality and consistency, facilitate data integration, and generate interesting knowledge. Moreover, we present interesting case studies on real datasets, including DBLP and Flickr, and show how interesting and organized knowledge can be generated from database-oriented information networks


Jiawei Han

Jiawei Han, Endowed University Professor, Director of Intelligent Database Systems Research Laboratory, School of Computing Science, Simon Fraser University, Canada. He has been researching into data mining, database systems, data warehousing, spatial and multimedia databases, deductive and object-oriented databases, Web databases, bio-medical databases, etc. with over 150 journal and conference publications. He has chaired or served in many program committees of international conferences and workshops, including 2002 ICDE conference (vice PC chairman), 2002 and 2001 SIAM-Data Mining conference (PC co-chair), 2001 ACM SIGKDD conference (best paper award chair), 2000 ACM SIGMOD conference (demo/exhibit program chair), and KDD’96 (PC co-chair). He has also served on the editorial boards for IEEE Transactions on Knowledge and Data Engineering, Journal of Intelligent Information Systems, and Data Mining and Knowledge Discovery. His book “Data Mining: Concepts and Techniques” (Morgan Kaufmann, 2001) has been popularly adopted as textbook in many universities