NDLI: Correlation analysis for decision support with applications to law enforcement

Content Provider	IEEE Xplore Digital Library
Author	Brown, D.E. Hagen, S.C.
Copyright Year	1999
Description	Author affiliation: Dept. of Syst. Eng., Virginia Univ., Charlottesville, VA, USA (Brown, D.E.)
Abstract	Correlating elements of large databases that are related but not exact matches has importance in a variety of applications. In health care epidemiologists have an interest in searching records for patterns of disease. In law enforcement this correlation task enables crime analysts to associate incidents possibly resulting from the same individual or group of individuals. In practice, most analysts perform this task manually by searching through records looking for similarities. Manual search does not imply paper records, but rather the construction of search criteria to narrow the search but not overly restrict it, either. The paper describes automated approaches to record or report correlation. Each of the automated approaches employs a weighted sum of attributes as the total similarity measure (TSM) between any elements in the database. All the approaches build the TSM using prior information provided by experienced analysts. We compare the methods using real data from a law enforcement example.
Starting Page	1074
Ending Page	1078
File Size	481362
Page Count	5
File Format	PDF
ISBN	0780357310
ISSN	1062922X
DOI	10.1109/ICSMC.1999.816733
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-10-12
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Law enforcement Databases Information analysis Performance analysis Geographic Information Systems Data mining Cities and towns Data engineering Systems engineering and theory Medical services
Content Type	Text
Resource Type	Article

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