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A Bayesian Data Trawler for Urban Public Safety

Award Information

Award #
2006-IJ-CX-K011
Location
Congressional District
Status
Closed
Funding First Awarded
2006
Total funding (to date)
$500,000

Description of original award (Fiscal Year 2006, $350,000)

The applicant proposes to develop a "Bayesian Inference Data Trawling Algorithm" (BIDTA). The BIDTA would monitor in real time each and every 911 call received and encoded onto the Computer-Aided Dispatch (CAD) system. It would be implemented as a computer program operating in the background of any 911 call-taking systems in which it is installed. The algorithms, incorporating statistics, probability, data mining techniques, and expert systems, would continually scan and analyze newly logged 911calls, searching for those reporting one incident "large or small" rather than separate independent incidents.

ca/ncf

The applicant proposes to develop a "Bayesian Inference Data Trawling Algorithm" (BIDTA). The BIDTA would monitor in real time each and every 911 call received and encoded onto the Computer-Aided Dispatch (CAD) system. It would be implemented as a computer program operating in the background of any 911 call-taking systems in which it is installed. The algorithms, incorporating statistics, probability, data mining techniques, and expert systems, would continually scan and analyze newly logged 911calls, searching for those reporting one incident "large or small" rather than separate independent incidents.

nca/ncf

Date Created: September 13, 2006