Wednesday, December 3, 7:00am - 8:00am
100 Nedderman Hall, UT Arlington campus

 

Big Data Exploration and Analytics
in Social Media and the Deep Web

 

Gautam Das, Ph.D.
Professor, Computer Science & Engineering
UT Arlington

 

When you're faced with a huge amount of data, how can you select and analyze small samples of the data to get a "big-picture" of what the data represents?

 

In recent years, Big Data exploration and analytics problems have been encountered in novel application domains, such as in collaborative/social media and deep web databases (flight fares/ schedules, catalogue items, etc.). Researchers at UT Arlington have developed a framework for exploratory mining of user interaction on web content for collaborative and social media. This can be leveraged in a variety of applications such as socially-aware recommendation systems, snippet advertising, and new item design. For deep web databases, they are examining the problems of retrieving, sampling, and data analytics over such web sources, which is challenging because deep web databases are often locked behind proprietary search interfaces.

 

In this presentation, Dr. Das describes the technical challenges and algorithmic innovations necessary to address these emerging problems, plus recent research efforts in the Database Exploration Laboratory (DBXLab) he directs at UT Arlington.

 

Gautam Das received a B.Tech from the Indian Institute of Technology-Kanpur and a doctorate from the University of Wisconsin - Madison. Before joining UT Arlington in 2004, he held positions at Microsoft Research and the University of Memphis. Professor Das' research interests span data mining, information retrieval, big data management, social media analytics, and theoretical algorithms. This research has resulted in more than 150 papers, many of which have received awards and appeared in premier conferences and journals. The NSF, ONR, US Department of Education, Texas Higher Education Coordinating Board, Microsoft Research, Nokia Research, and Cadence Design Systems have supported his research.


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