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The development and verification of a similar crimes search system in Korean
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Our goal is to automatically detect patterns of crime. Among
a large set of crimes that happen every year in a major city, it is challenging,
time-consuming, and labor-intensive for crime analysts to determine
which ones may have been committed by the same individual(s). If automated,
data-driven tools for crime pattern detection are made available
to assist analysts, these tools could help police to better understand patterns
of crime, leading to more precise attribution of past crimes, and
the apprehension of suspects. To do this, we propose a pattern detection
algorithm called Series Finder, that grows a pattern of discovered crimes
from within a database, starting from a \seed" of a few crimes. Series
Finder incorporates both the common characteristics of all patterns and
the unique aspects of each speci c pattern, and has had promising results
on a decade's worth of crime pattern data collected by the Crime
Analysis Unit of the Cambridge Police Department.
The information explosion has led to problems and possibilities in many areas of society, including that of law enforcement. In comparing individual criminal investigations on similarity, we seize one of the opportunities of the information surplus to determine what crimes may or may not have been committed by the same group of individuals.
For this purpose we introduce a new distance measure that is specifically suited to the comparison between investigations that differ largely in terms of available intelligence. It employs an adaptation of the probability density function of the normal distribution to constitute this distance between all possible couples of investigations.
We embed this distance measure in a four-step paradigm that extracts entities from a collection of documents and use it to transform a high dimensional vector table into input for a police operable tool. The eventual report is a two-dimensional representation of the distances between the various investigations and will assist the police force on the job to get a clearer picture of the current situation.
Study on the Korea Information System of Criminal Justice Service, Convergence security journal
- S Shin