Minefleet datamining system honored at ICDM-2010

Work by Professor Hillol Kargupta and his students and colleagues was recognize as one of the top ten data mining case studies at the 2010 IEEE International Conference on Data Mining. The case study submission cited was described in

Hillol Kargupta, Kakali Sarkar, Michael Gilligan, Parag Namjoshi, Sai Subhash Paruchuru, Thiraphat Pongsudhiraks, and Robert Gilligan, "MineFleet, A Distributed Vehicle Performance Data Stream Mining System"

The MineFleet software was designed for commercial fleet owners and fleet management companies who want the power of advanced predictive vehicle data mining for dramatically reducing the operating costs. It uses powerful data stream mining algorithms for modeling, benchmarking, and monitoring of vehicle health, emissions, driver behavior, fuel-consumption, and fleet characteristics. Work on Minefleet was done at UMBC and Agnik, a a data analytics company for distributed, mobile, and embedded environments based in Columbia MD. You can read more about the Minefleet system here.