(Talk) Towards Connecting Big Data with Many People: A Big Data Analytics Approach

  • Speaker: Jian Pei (Simon Fraser University)
  • Location: UBC Vancouver Campus, KAIS 2020, 2332 Main Mall, Vancouver, BC
  • Date & Time: April 25, 2013, at 3:30 p.m.

Abstract Big data, which refers to data sets too big and too complex to be handled using the existing database management tools, is emerging in many important applications and presenting grand challenges for database and data analytics research. In this talk, I review some exciting research on big data analytics in my group under the central theme of connecting big data with many people by enabling management, integration, exploration and application of big data. Particularly, I will showcase our recent research accomplishments, such as user preference management, context-aware on-demand data mining, graph and social network summarization and exploration, as well as the broader impact generated by connecting our technical innovations with interdisciplinary research initiatives, and industry applications and production.

Speaker’s Biography

Jian Pei is currently Professor of Computing Science at the School of Computing Science at Simon Fraser University, Canada. He joined the School of Computing Science at Simon Fraser University as a faculty member in 2004. In 2002 – 2004, he was an Assistant Professor of Computer Science and Engineering at the State University of New York (SUNY) at Buffalo, USA. He received a Ph.D. degree in Computing Science from Simon Fraser University, Canada, in 2002, under Dr. Jiawei Han’s supervision. He also received a B. Eng. degree and a M. Eng. degree, both in Computer Science, from Shanghai Jiao Tong University, China, in 1991 and 1993, respectively. He was a Ph.D. candidate inPeking University, China, in 1997-1999.

His research interests can be summarized as developing effective and efficient data analysis techniques for novel data intensive applications. Particularly, he is currently interested in various techniques of data mining, Web search, information retrieval, data warehousing, online analytical processing, and database systems, as well as their applications in social networks, health-informatics, business and bioinformatics. His research has been supported in part by the Natural Sciences and Engineering Research Council of Canada (NSERC), the National Science Foundation (NSF) of the United States, Microsoft, Hewlett-Packard Company (HP), IBM Corporation, SAP Business Objects, and the Canadian Imperial Bank of Commerce (CIBC).

Currently, his priority in research is on developing industry relations and collaboration, and transferring technologies developed in his group to industry applications. He has been spending a lot of time and effort on creating collaborative industry projects and developing proof-of-concept prototypes.

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