UVM CEMS receives NSF collaborative research grant
Release Date: 10-14-2009
A collaborative research grant from the National Science Foundation (NSF) has been received for research entitled, "CIF: Medium: Collaborative Research: Integrating and Mining Bio-Data from Multiple Sources in Biological Networks." Dr. Xindong Wu, chair and professor for the Department of Computer Science in the UVM College of Engineering and Mathematical Sciences (CEMS) is principal investigator along with Marc Greenblatt from the UVM College of Medicine. They will work collaboratively with a team from Drexel University, also recipients of separate NSF funding for this research.
"This provides a foundation for interdisciplinary collaborations between faculty members in Computer Science, Statistics, Engineering, Biology and Medicine, and with Drexel University," says Bernard "Chip" Cole, CEMS interim dean. "The University of Vermont is fortunate to have such a strong contingent of researchers in this area."
"We are excited about the opportunity to research data mining applications relevant to various societal and economic domains," Wu says. "[These applications] are a means of collecting mass data from different sources some of which are incomplete and contradictory and providing a cohesive map with critical information. An example of an application would be mining information from static road sensors and dynamic sensors on moving vehicles to determine which areas are busy and which areas have less traffic to create an improved traffic flow."
The power of data mining and statistics techniques to discover interesting patterns in raw data has manifested itself in the widespread applications of decision trees, rule induction, Bayesian networks, association analysis and sequential patterns. As techniques have matured in sophistication and power, industry has become directly involved in their promotion and use, particularly in various conferences on data mining.
In addition to this NSF grant, Dr. Wu was awarded another NSF grant with researchers at Florida International University and the University of California-Riverside that allows travel for graduate students to attend the 2009 IEEE International Conference on Data Mining series (ICDM 2009) to be held in Miami, Florida. The ICDM provides a forum for the presentation of original research results, as well as the exchange and dissemination of innovative, practical development experiences. The conference covers all aspects of data mining, including algorithms, software and systems, and applications. In addition, ICDM draws researchers and application developers from a wide range of data miningrelated areas such as statistics, machine learning, pattern recognition, databases and data warehousing, data visualization, knowledge-based systems and high-performance computing.
Besides the technical program, the conference will feature workshops, tutorials, panels and, new for this year, the ICDM data mining contest. Founded by Dr. Wu, the conference is commonly ranked as a top-tier conference in computing and information technology.
For more information, contact Dr. Wu at Xindong.Wu@uvm.edu.