Events: Calendar

SURF-IoT: Social Media Analytics Made Easy

Title: SURF-IoT: Social Media Analytics Made Easy
Event Date: 8/3/2017 - 8/3/2017
Event Time: 11:30 a.m.
Event End: 1 p.m.

This talk will give an overview of our research projects that can make social media analytics easy, especially for non-IT users. Cloudberry is a middleware solution to support interactive exploration and visualization on large data sets ("responsive big queries"). It's using the Apache AsterixDB as the parallel database backend. TextDB is a system to support cloud-based text analytics with a GUI-based interface for query formulation. It is currently used by UCI researchers to conduct social data analysis. In our demo, Mr. Walter White, the chemistry teacher from Breaking Bad without a CS PhD, can use the integrated solution to conduct drug-related tweet analysis to make his next important decision.

Lunch Provided


Chen Li is a professor in the Department of Computer Science at UC Irvine. He received his Ph.D. degree in Computer Science from Stanford University, and his M.S. and B.S. in Computer Science from Tsinghua University, China, respectively. His research interests are in the field of data management, including data-intensive computing, query processing and optimization, and text analytics. His current focus is building open source systems for data management and analytics. He was a recipient of an NSF CAREER Award, several test-of-time publication awards, and many grants and industry gifts. He was once a part-time Visiting Research Scientist at Google. He founded a company to develop an open source search engine.