Discovery of Burglary Hotspots and Extraction of Their Features

Andrew Little, Ray R. Hashemi, Jeffrey A. Young

Research output: Contribution to book or proceedingConference articlepeer-review

1 Scopus citations

Abstract

Investigation of the underline contributing factors to burglaries within a geographical area, is essential in finding solutions. Such investigation for a geographical area in the southeast of Georgia is the subject of this paper. Our goal is bifold: (a) discovering the burglary hotspots for the area and (b) extracting the features associated with each given hotspot. Such features are the underlying contributing factors for each hotspot, which differ from one hotspot to the next. Data sources used for meeting the goal are cleansed city Police reports, United States Census, Google maps, and the City Ordinances. The discovery of the hotspots is accomplished by using the Optics clustering technique and feature extraction is performed by an association analysis.

Original languageEnglish
Title of host publicationProceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages412-417
Number of pages6
ISBN (Electronic)9781728176246
DOIs
StatePublished - Dec 2020
Event2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020 - Las Vegas, United States
Duration: Dec 16 2020Dec 18 2020

Publication series

NameProceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020

Conference

Conference2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020
Country/TerritoryUnited States
CityLas Vegas
Period12/16/2012/18/20

Scopus Subject Areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Safety, Risk, Reliability and Quality

Keywords

  • Association Analysis
  • Burglary Hotspots
  • Data Mining
  • Graphical User Interface
  • Optic Clustering

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