@inproceedings{4766f709b23f4896ac4cff0ed64cb7d3,
title = "Using Data Mining for Infrastructure and Safety Violations Discovery in Cities",
abstract = "In city planning and maintenance, the ability to quickly identify infrastructure violations-such as missing or misplaced fire hydrants-can be crucial for maintaining a safe city; it can even save lives. In this work, we aim to provide an analysis of such violations, and to demonstrate the potential of data-driven approaches for quickly locating and addressing them. We conduct an analytical study based upon data from the city of Beer-Sheva's public records of fire hydrants, bomb shelters, and other public facilities. The results of our analysis are presented along with an interactive exploration tool, which allows for easy exploration and identification of the different facilities around the city that violate regulations.",
keywords = "Data-Mining, Data-Science, Smart-Cities",
author = "Doron Laadan and Eyal Arviv and Michael Fire",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Smart Cities Conference, ISC2 2020 ; Conference date: 28-09-2020 Through 01-10-2020",
year = "2020",
month = sep,
day = "28",
doi = "10.1109/ISC251055.2020.9239035",
language = "English",
series = "2020 IEEE International Smart Cities Conference, ISC2 2020",
publisher = "Institute of Electrical and Electronics Engineers",
booktitle = "2020 IEEE International Smart Cities Conference, ISC2 2020",
address = "United States",
}