Vipin Kumar, Fellow

Data Mining: Discovery of Information in Large Datasets

The problem in mining hidden associations present in large amounts of data has seen widespread applications in many practical domains such as customer-oriented planning and marketing, telecommunication network monitoring, and analyzing data from scientific experiments. The combinatorial complexity of the problem and phenomenal growth in the sizes of available datasets motivate the need for efficient and scalable parallel algorithms. The design of such algorithms is challenging. This research group has presented an evolutionary and comparative take on many existing representative serial and parallel algorithms for discovering two kinds of associations. It was shown that many existing algorithms actually belong to a few categories that are decided by the broader design strategies. Overall, the aim of this research was to provide a comprehensive account of the challenges and issues involved in effective parallel formulations of algorithms for discovering associations, and how various existing algorithms try to handle them.

A new project by this group involves using data mining to predict the observed properties of chemical compounds. More specifically, the researchers’ goal is to predict the impact sensitivity of energetic materials. The group used different types of chemical information for this project, including information from computational chemistry simulations and general chemical information—especially structural information —available in chemical databases such as the Cambridge Structural Database.

Research Group and Collaborators

Eric Eilertson, Graduate Student Researcher
Levent Ertoz, Graduate Student Researcher
Anath Y. Grama, Purdue University, West Lafayette, Indiana
Anshul Gupta, IBM T. J. Watson Research Center, Yorktown Heights, New York
Eui-Hong (Sam) Han, Graduate Student Researcher
Ravi Janardan, Faculty Collaborator
Mahesh V. Joshi, Graduate Student Researcher
George Karypis, Faculty Collaborator
Sreenivas Mahesh Kumar, Graduate Student Researcher
William Leinberger, Graduate Student Researcher
Irene Moulitsas, Graduate Student Researcher
Tom Nurkkala, PowerCerv Corporation, Anderson, South Carolina
Aysel Ozgur, Graduate Student Researcher
Uygar Oztekin, Graduate Student Researcher
Sanjay Ranka, University of Florida, Gainesville, Florida
Kirk A. Schloegel, Research Associate
Elizabeth Shoop, Research Associate
Michael S. Steinbach, Graduate Student Researcher
Pang Tan, Graduate Student Researcher
Jieping Ye, Graduate Student Researcher