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IEEE Awards Ashok Srivastava and Irving Statler for Data Mining Case Study

The IEEE International Conference of Data Mining (ICDM) recognized Dr. Ashok N. Srivastava and Dr. Irving Statler for one of the top ten data mining case studies. Their case study developed data mining technologies to discover precursors to aviation safety incidents. The award was given as part of a panel conducted by top experts in the field of data mining.

BACKGROUND: Srivastava and Statler developed advanced algorithms for extracting information from large heterogeneous and distributed databases and integrating information from domain experts to provide reliable and operationally significant information. The Data Mining project works closely with the FAA and airlines to transition technology to the field. This project develops advanced data mining technologies for larger and more complex data streams from millions of flights to identify precursors to aviation safety accidents that potentially have a positive impact on billions of passengers world-wide.

NASA PROGRAM FUNDING: This work was funded by the NASA Aviation Safety Program's Integrated Vehicle Health Management (IVHM) project and the System-wide Safety and Assurance Technologies (SSAT) project.

OTHER TEAM MEMBERS, COLLABORATORS, AND CUSTOMERS: Nikunj Oza, Bryan Matthews, Santanu Das, Kanishka Bhaduri, Rodney Martin, John Stutz, and other members of the Intelligent Data Understanding Group. Customers include the FAA’s Aviation Safety Information Analysis and Sharing (ASIAS) program, Express Jet, EasyJet (UK), and Southwest Airlines.

Contact: Ashok N. Srivastava

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IEEE Awards Ashok Srivastava and Irving Statler for Data Mining Case Study
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