Data Mining, Databases, and Geographical Information Systems
Research in this area explores efficient storage, retrieval, analysis, and visualization of data for analysis and pattern discovery. This encompasses a wide range of topics including improved indexing and query languages, data compression, multimedia storage and retrieval, data clustering, pattern matching, and high-dimensional data modeling. Specific research thrusts in the department include geographical databases, mapping models, anomaly and pattern detection, query processing, and spatial and scientific data mining for application domains like bioinformatics, cyber security, sensor networks, transportation, and the Web. This group has extensive connections with industry and national labs, providing a rich source of problems, datasets, and experience for students.
Majid Farhadloo (Ph.D. student), Carl Molnar (M.S. student), Gaoxiang Luo (undergraduate research assistant), Yan Li (Ph.D. student), Shashi Shekhar (professor), Rachel L Maus, Svetomir N Markovic, Raymond Moore, Alexey Leontovich