Handbook on Artificial Intelligence and Expert Systems in Law Enforcement
Handbook on Artificial Intelligence and Expert Systems in Law Enforcement
An outlier-based data association method for linking criminal incidents
Decision Support Systems - Special issue: Intelligence and security informatics
Enhancing border security: Mutual information analysis to identify suspect vehicles
Decision Support Systems
Automated criminal link analysis based on domain knowledge: Research Articles
Journal of the American Society for Information Science and Technology
Decision support for determining veracity via linguistic-based cues
Decision Support Systems
An outlier-based data association method for linking criminal incidents
Decision Support Systems - Special issue: Intelligence and security informatics
Criminal incident data association using the OLAP technology
ISI'03 Proceedings of the 1st NSF/NIJ conference on Intelligence and security informatics
An intelligent decision-support model using FSOM and rule extraction for crime prevention
Expert Systems with Applications: An International Journal
Identity matching using personal and social identity features
Information Systems Frontiers
A hierarchical Naïve Bayes model for approximate identity matching
Decision Support Systems
Geospatial knowledge discovery framework for crime domain
Transactions on computational science XIII
Real-time probabilistic data association over streams
Proceedings of the 7th ACM international conference on Distributed event-based systems
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Associating records in a large database that are related but not exact matches has importance in a variety of applications. In law enforcement, this task enables crime analysts to associate incidents possibly resulting from the same individual or group of individuals. In practice, most crime analysts perform this task manually by searching through incident reports looking for similarities. This paper describes automated approaches to data association. We report tests showing that our data association methods significantly reduced the time required by manual methods with accuracy comparable to experienced crime analysts. In comparison to analysis using the structured query language (SQL), our methods were both faster and more accurate.