ACM Fellow (1997) IEEE Fellow (1993) ACM SIGKDD 2016 Innovation Award `for influential research and scientific contributions on mining, fusion and anonymization...

Contact 851 S. Morgan St., Rm 1138 SEO, Chicago, IL 60607 e mail: psyu@uic.edu Phone: (312) 996 0498 Fax: (312) 413 0024

Big Data and Social Computing (BDSC) Lab The research focuses on next generation data management and mining issues on big data with special attentions to heterogeneous...

Links H index of Computer Science Most Proflic DBLP Authors Google Scholar Profile DBLP list of publications ACM Transactions on Knowledge Discovery from Data...

Journal Publications 1. `Maximizing Bichromatic Reverse Nearest Neighbor for Lp Norm in Two and Three Dimensional Spaces `, (with R. Wong, M.T. Ozsu, A...

Journal Publications 1. `Uncertain One Class Learning and Concept Summarization Learning on Uncertain Data Streams `, (with B. Liu, Y. Xiao, L. Cao, Y. Zhang,...

Most Recent Publications DBLP list of publications Survey Papers 1. `Active Learning: A Survey`, (with C. Aggarwal, X. Kong, Q. Gu, and J. Han), in Data Classification...

Research The research focuses on next generation data management and mining issues on big data with special attentions to heterogeneous information networks and social...

Teaching CS 594 Advanced Topics on Data Mining

TWiki`s PSYu web The 1 web of TWiki. TWiki is a Web Based Collaboration Platform for the Enterprise.

Philip S. Yu UIC Distinguished Professor and Wexler Chair in Information Technology Department of Computer Science University of Illinois at Chicago Biographical...

Research Teaching Prior 2012 Publications Links Awards Contact edit this 1 Web Create New Topic...

This is a subscription service to be automatically notified by e mail when topics change in this 1 web. This is a convenient service, so you do not have to come...

PSYu Web Preferences The following settings are web preferences of the PSYu web. These preferences overwrite the site level preferences in . and...

/PSYu The 1 web of TWiki. TWiki is a Web Based Collaboration Platform for the Enterprise.

Statistics for PSYu Web Month: Topic views: Topic saves: File uploads: Most popular topic views: Top contributors for topic save and...