Synthesis Lectures on Data Mining and Knowledge Discovery: Mining Latent Entity Structures (PDF)

Chi Wang is a researcher at Microsoft Research, Redmond, Washington. He received his Ph.D. degree in computer science from the University of Illinois at Urbana-Champaign in 2014. He graduated from Tsinghua University, China, in 2009. His research has been focused on data mining, information network analysis, and text mining. He is the first winner of the prestigious Microsoft Research Graduate Research Fellowship in the history of Computer Science, University of Illinois at Urbana-Champaign.

Jiawei Han is the Abel Bliss Professor in the Department of Computer Science at the University of Illinois. His research interests include data mining, information network analysis, and database systems, and he has over 600 publications. He served as the founding Editor-in-Chief of ACM Transactions on Knowledge Discovery from Data (TKDD). Jiawei has received the ACM SIGKDD Innovation Award (2004), IEEE Computer Society Technical Achievement Award (2005), IEEE Computer Society W. Wallace McDowell Award (2009), and Daniel C. Drucker Eminent Faculty Award at UIUC (2011). He is a Fellow of ACM and a Fellow of IEEE. He is currently the Director of Information Network Academic Research Center (INARC) supported by the Network Science-Collaborative Technology Alliance (NS-CTA) program of U.S. Army Research Lab. His co-authored textbook Data Mining: Concepts and Techniques (Morgan Kaufmann) has been adopted worldwide.

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