As part of the Computer Science Distinguished Lecture Series, the College of Science at Illinois Tech will host “On Fusing Heterogeneous Data Sources”on Monday, October 26 from 1:50-3 p.m. in Life Sciences, Room 111. The featured speaker will be Phillip S. Yu, Distinguished Professor and the Wexler Chair in Information Technology in the Department of Computer Science, University of Illinois at Chicago.
The problem of big data has become increasingly important in recent years. The very nature of big data poses challenges due to not only its volume and velocity generated, but also its variety, where variety means the data can be collected from various sources with different formats from structured data to text to network/graph data, etc. In this talk, I will focus on the variety issue and discuss the recent development in fusing information from multiple data sources, which can be applied to multiple disciplines, including social network analysis, Web, database systems, data mining, machine learning, and networked communication and information systems. Fusion of multiple social networks will be considered.
Yu is a Distinguished Professor and the Wexler Chair in Information Technology in the Department of Computer Science, University of Illinois at Chicago. Before joining UIC, he was at the IBM Watson Research Center, where he built a world-renowned data mining and database department. He is a fellow of the ACM and IEEE. Yu received the IEEE Computer Society’s 2013 Technical Achievement Award for “pioneering and fundamentally innovative contributions to the scalable indexing, querying, searching, mining and anonymization of big data.” Yu has published more than 910 referred conference and journals papers cited more than 64,000 times with an H-index of 117. He has applied for more than 300 patents.