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.

Faculty

• Arindam Banerjee
• Daniel Boley
• John Carlis
• George Karypis
• Mohamed Mokbel
• Shashi Shekhar
• Jaideep Srivastava

Labs and Selected Projects

• Data Mining George Karypis
• Database and Spatial Data Mining Research Group Shashi Shekhar
• Discovery of Patterns in the Global Climate System using Data Mining George Karypis, Vipin Kumar, Shashi Shekhar
• Karypis Lab George Karypis
• MINDS: Minnesota Intrusion Detection System Vipin Kumar and Jaideep Srivastava
• Unsupervised Document Set Exploration Using Divisive Partitioning Dan Boley

Related Centers and Programs

• DTC Data Mining Consortium (DDMC)
• DTC Intelligent Storage Consortium (DISC)