UMBC ebiquity research group Building intelligent systems in open, heterogeneous, dynamic, distributed environments
04 July 2008, 23:21:44 EDT  
Datamining

Archive for the 'Datamining' Category

Our MURI grant gets some press

June 12th, 2008, by Anupam Joshi, posted in Datamining, Mobile Computing, Policy, Privacy, Security, Social media, Technology Policy, UMBC

A UMBC led team recently won a MURI award from DoD to work on “Assured Information Sharing Lifecycle”. It is an interesting mix of work on  new security models, policy driven security systems, context awareness, privacy preserving data mining, and social networking. The award really brings together many different strains of research in eBiquity, as well as some related reserach in our department. We’re just starting off, and excited about it. UMBC’s web page had a story about this, and more recently, GCN covered it.

The UMBC team is lead by Tim Finin, and includes several of us. The other participants are UIUC (led by Jiawei Han), Purdue (led by Elisa Bertino),  UTSA (led by Ravi Sandhu), UTDallas (led by Bhavani Thurasingham), Michigan (Lada Adamic).

Jiawei Han: Research Challenges In Data Mining, 10am 4/22 LH8 UMBC

April 21st, 2008, by Tim Finin, posted in Datamining, Machine Learning, UMBC

Jiawei Han will give a talk tomorrow, Research Challenges In Data Mining at 10am in UMBC’s
LH8 (1st floor ITE building). Here’s the abstract.

“Research in data mining has led to advanced knowledge discovery technologies and applications. In this talk, we will discuss some emerging research issues for advanced technologies and applications in data mining and discuss some recent progress in this direction, including (1) exploration of the power of pattern mining, (2) analysis of multidimensional, heterogeneous and evolving information network, (3) mining of fast changing data streams, (4) mining of moving object data, RFID data, and data from sensor networks, (5) spatiotemporal and multimedia data mining, (6) biological data mining, (7) text and Web mining, (8) data mining for software engineering and computer system analysis, and (9) data cube-oriented multidimensional online analytical analysis.”

The talk is part of a distinguished lecture series sponsored by the UMBC Information Systems Department. Here’s a flier.

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