Development of Fire Report Management Portal with Mapping of Fire Hotspot, Data Mining, and Prescriptions of Fire Prevention Activities

This study utilized data mining and geo-mapping methods to develop a fire risk management system for the Bureau of Fire Protection (BFP) in the city of Manila. This system was integrated into a web portal where the BFP personnel can log and view fire incident reports, which are then evaluated and mined for marking fire “hot spots” on a customized map of the city, as well as for producing recommendations based on the risk level assessment of any location for a given date. Based on results of experimentation, the Decision Tree classifier model was selected, with 95.92% accuracy. Geocoding produced 92% output of geographical coordinates from address information in the data set. The system can help the fire agency in raising the fire risk awareness of the community country and in facilitating their fire risk reduction planning.