U.S. flag

An official website of the United States government, Department of Justice.

Dot gov

The .gov means it’s official.
Federal government websites always use a .gov or .mil domain. Before sharing sensitive information online, make sure you’re on a .gov or .mil site by inspecting your browser’s address (or “location”) bar.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Partially Supervised Spatiotemporal Clustering for Burglary Crime Series Identification

NCJ Number
248840
Date Published
Author(s)
Brian J. Reich, Michael D. Porter
Annotation
This article proposes a Bayesian model-based clustering approach for criminal events.
Abstract
Statistical clustering of criminal events can be used by crime analysts to create lists of potential suspects for an unsolved crime to identify groups of crimes that may have been committed by the same individuals or group of individuals, for offender profiling and for predicting future events. The authors approach is semi-supervised, because the offender is known for a subset of the events, and utilizes spatio-temporal crime locations as well as crime features describing the offender's modus operandi. The hierarchical model naturally handles complex features that are often seen in crime data, including missing data, interval-censored event times and a mix of discrete and continuous variables. In addition, the proposed Bayesian model produces posterior clustering probabilities which allow analysts to act on model output only as warranted. This approach is illustrated by using a large data set of burglaries in 2009–2010 in Baltimore County, Maryland. (Publisher abstract modified)
Date Created: July 14, 2016