Data Exploration and Analytics in Social Media and the Deep Web
Friday, February 28, 2014 - 8:45am - 10:00am
KEC 1007
Gautam Das
Professor
Computer Science and Engineering Department
University of Texas at Arlington
Abstract:
In recent years, data exploration and analytics problems have been encountered
in novel application domains, such as in collaborative/social media and deep
web databases. This talk will summarize some of our recent research efforts in
these areas. For collaborative and social media, we have developed a framework
for exploratory mining of user interaction on web content, which can be
leveraged in a variety of applications such as socially-aware recommendation
systems, snippet advertising, and new item design. For deep web databases, we
will consider the problems of crawling, sampling, and data analytics over such
web sources, which is challenging because deep web databases are often locked
behind proprietary search interfaces. Our talk will focus on describing the
interesting technical challenges and algorithmic innovations necessary to
address these emerging problems.
Biography:
Gautam Das is Professor of Computer Science and Engineering and Head of Database Exploration Laboratory (DBXLab) at the University of Texas at Arlington. He has also held positions at Microsoft Research and the University of Memphis. He graduated with a B.Tech from IIT Kanpur, India, and with a Ph.D from the University of Wisconsin, Madison. His research interests span data mining, information retrieval, big data management, social media analytics, and theoretical algorithms. His research has resulted in over 150+ papers, many of which have appeared in premier conferences and journals such as SIGMOD, VLDB, ICDE, KDD, TODS, and TKDE. His work has received several awards, including the IEEE ICDE 2012 Influential Paper award, Best Student Paper Award of CIKM 2013, VLDB Journal special issues on Best Papers of VLDB 2012 and 2007, Best Paper of ECML/PKDD 2006, and Best Paper (runner up) of ACM SIGKDD 1998. Dr. Das is in the Editorial Board of ACM TODS and IEEE TKDE, and has serve!
d the organization and program committees of numerous premier conferences. His
research has been supported by NSF, ONR, Department of Education, Texas Higher
Education Coordinating Board, Microsoft Research, Nokia Research, and Cadence
Design Systems.
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