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Big Data for Everyone

Dept. of Computer Science (June 18, 2015)

SEMINAR SERIES : Distinguished lecture

LENGTH : 82 min.
ACCESS : Open to all
SUMMARY : Big Data post grand opportunities and challenges for egocentric analytics on Big Data. In this talk, I will discuss several interesting problems centered on egocentric queries and analysis on Big Data. We want to answer a series of natural questions imperative in several killer applications, such as "How is this patient similar to or different from the other Type II diabetes patients in the database?", "How is University X distinct from the other universities?", and "How is this residential property distinct from the others available in the market?" To answer such questions on Big Data, we have to search data of high dimensionality and high volume, and possibly of high dynamics as well. I will present some preliminary research results and some application case studies we obtained recently, as well as more challenges we identified.  [Go to the full record in the library's catalogue]

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