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In city planning and maintenance, the abilty to quickly identifyinfrastructure violations - such as missing or misplaced fire hydrants - can becrucial for maintaining a safe city; it can even save lives. In this work, weaim to provide an analysis of such violations, and to demonstrate the potentialof data-driven approaches for quickly locating and addressing them. We conductan analytical study based upon data from the city of Beer-Sheva's publicrecords of fire hydrants, bomb shelters, and other public facilities. Theresult of our analysis are presented along with an interactive explorationtool, which allows for easy exploration and identification of differentfacilities around the city that viloate regulations.

Using Data Mining for Infrastructure and Safety Violations Discovery in Cities