skip navigation

CrimeSolutions.gov

Add your conference to our Justice Events calendar

PUBLICATIONS

Register for Latest Research

Stay Informed
Register with NCJRS to receive NCJRS's biweekly e-newsletter JUSTINFO and additional periodic emails from NCJRS and the NCJRS federal sponsors that highlight the latest research published or sponsored by the Office of Justice Programs.

NCJRS Abstract

The document referenced below is part of the NCJRS Library collection. To conduct further searches of the collection, visit the NCJRS Abstracts Database. See the Obtain Documents page for direction on how to access resources online, via mail, through interlibrary loans, or in a local library.

 
  NCJ Number: NCJ 190983     Find in a Library
  Title: Artificial Neural Network System for Classification of Offenders in Murder and Rape Cases, Executive Summary
  Document URL: PDF 
  Author(s): Lars Kangas
  Corporate Author: Battelle Memorial Institute
United States of America
  Date Published: 10/2000
  Page Count: 5
  Series: NIJ Research Report
  Annotation: This is an Executive Summary of a report on an artificial neural network system for classifying offenders in murder and rape cases.
  Abstract: The "Artificial Neural Network Systems for Classification of Offenders in Murder and Rape Cases" project developed two software prototypes that demonstrate developed algorithms for analyzing and comparing large databases of crime data. The CATCH (Computer Aided Tracking and Characterization of Homicides) and CATCHRAPE software applications analyze homicide data and sexual assault data, respectively. Development of CATCH was made possible with the HITS (Homicide Investigation Tracking System) database system. The HITS system provided the required historical crime data for CATCH to learn offender behavior so that new unsolved crimes can be characterized for analysis and comparison. CATCH characterizes an unknown offender by comparing his or her crime to known offenders of other crimes where the offenders' behavior was similar. The information includes level of education, type of work, physical appearance, misuse of alcohol and drugs, etc. The underlying assumption is that individuals who otherwise behave similarly, may also commit crimes with similar behavior. Bibliography
  Main Term(s): Criminology
  Index Term(s): Offenders ; Rape ; Computer software ; Science and Technology ; Murder ; Offender classification ; Offender profiles ; Databases ; NIJ final report
  Sponsoring Agency: National Institute of Justice (NIJ)
US Department of Justice
Office of Justice Programs
United States of America
  Grant Number: 97-IJ-CX-K007
  Sale Source: NCJRS Photocopy Services
Box 6000
Rockville, MD 20849-6000
United States of America

Battelle Memorial Institute
Pacific Northwest Division
Richland, WA 99352
United States of America
  Type: Report (Study/Research)
  Country: United States of America
  Language: English
  Note: For the complete report, see NCJ-190984.
   
  To cite this abstract, use the following link:
https://www.ncjrs.gov/App/Publications/abstract.aspx?ID=190983

*A link to the full-text document is provided whenever possible. For documents not available online, a link to the publisher's website is provided. Tell us how you use the NCJRS Library and Abstracts Database - send us your feedback.