(597a) Fire Incident Anomaly Detection and Monitoring System Based On Mining of National Fire Data

A real-time
anomaly detection and monitoring system of fire incidents has been developed
and is on test based on data mining of national fire data. U.S., Korea and most
developed countries keep their records of fire incidents and provide basic
statistics on the occurrence of fires. However, these massive and valuable data
have not been used to proactively manage and reduce the number of fire
occurrences or the loss from fire.

Like U.S. National Fire Incident Reporting System (NFIRS), The
National Fire Data System (NFDS) of Korea has two objectives: to help national
and local governments develop fire reporting and analysis capability for their
own use, and to obtain data that can be used to more accurately assess and
subsequently combat the fire problem at a national level. To meet these
objectives, the NEMA has developed a standard NFDS package that includes
incident and casualty forms, a coding structure for data processing purposes,
manuals, computer software and procedures, documentation and a training course
for utilizing the system.