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Discovery of Burglary Hotspots and Extraction of Their Features

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.