Seasoning Data Mining and Database Research by Connecting Big Data with Many People¶
Jian Pei
Associate Professor
School of Computing Science, Simon Fraser University
Abstract :
Big data, which refers to the data sets that are too big to be handled
using the existing database management tools, are emerging in many important
applications, such as Internet search, business informatics, social
networks, social media, genomics, and meteorology. Big data presents a
grand challenge for database and data analytics research. In this talk, I
review the exciting activities in my group addressing the big data
challenge. The central theme is to connect big data with people in various
ways. Particularly, I will showcase our recent progress in user preference
understanding, context-aware, on-demand data mining using crowd
intelligence, summarization and explorative analysis of large data sets, and
privacy preserving data sharing and analysis.
Short-Biography:
Jian Pei is currently an Associate Professor and the Associate
Director, Research and Industry Relations, at the School of Computing
Science, Simon Fraser University. His research interest is to develop
effective and efficient data analysis techniques for novel data intensive
applications. Particularly, he is currently working on databases, data
mining, web search, information retrieval, and their applications in social
networks, healthcare informatics, and business. His research has been
extensively supported by NSERC, NSF, Microsoft, IBM, HP, SAP Business
Objects, CIBC, and other industry partners. He has published prolifically
in refereed journals and conferences in his fields. His publications have
attracted more than 10,000 citations according to Google Scholar. He has
served actively in the organization and program committees of many
conferences and workshops. He is the associate-editor-in-chief of IEEE
Transactions on Knowledge and Data Engineering, and an associate editor of
several premier journals on data mining and knowledge discovery. He is the
recipient of several prestigious awards, including an NSERC 2008 Discovery
Accelerator Supplements Award, the BC Innovation Council 2005 Young
Innovator Award, an IBM Faculty Award, and the KDD 2008 Best Application
Paper Award.