Application of the behavioral investigative support system for profiling perpetrators of serial sexual assaults.
The authors developed a data-based profiling system in order to support offender profiling. The system stored incident records of prior offenders. Inputting offence details of an unsolved incident, a probability score was assigned to each prior offender in the system; the score represented the behavioral similarity with the unsolved incident. The system then ranked all offenders in the system according to the probability scores, and prioritized the high-ranked offenders as possible suspects. Moreover, the system inferred the characteristics of unknown offenders by accumulating characteristics of the high-ranked offenders. The system achieved promising accuracy, especially for linking crimes to perpetrators. In 45 out of 81 simulation trials, the target offenders were retrieved as a rank score of 1 from among 868 sex offenders.
Yokota
Kaeko
K
Department of Behavioral Sciences and Criminology, National Research Institute of Police Science, 6-3-1 Kashiwanoha, Kashiwa, Chiba 277-0882, Japan. sano@nrips.go.jp
Fujita
Goro
G
Watanabe
Kazumi
K
Yoshimoto
Kaori
K
Wachi
Taeko
T
D000465:Algorithms; D003198:Computer Simulation; D019548:Crime Victims / Q000523:psychology*; D003417:Criminal Psychology / Q000379:methods*; D005554:Forensic Medicine; D006801:Humans; D008331:Management Information Systems; D012372:ROC Curve; D012742:Sex Offenses / Q000523:psychology*