skip navigation

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 Virtual Library collection. To conduct further searches of the collection, visit the Virtual Library. 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: 190984 Add to Shopping cart Find in a Library
Title: Artificial Neural Network System for Classification of Offenders in Murder and Rape Cases
Author(s): L. J. Kangas
Corporate Author: Battelle Memorial Institute
United States of America
Date Published: October 2000
Page Count: 69
Sponsoring Agency: Battelle Memorial Institute
Richland, WA 99352
National Institute of Justice (NIJ)
Washington, DC 20531
NCJRS Photocopy Services
Rockville, MD 20849-6000
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
Document: PDF
Type: Report (Study/Research)
Format: Document
Language: English
Country: United States of America
Annotation: This report describes an artificial neural network system for classifying offenders in murder and rape cases.
Abstract: The purpose of this project was to develop software prototypes that demonstrate algorithms for analyzing and comparing large databases of crime data. The scope of the project was limited to specifically show how artificial neural network technology can support a multivariate or information fusion approach to finding significant patterns in crime data. The project developed CATCH (Computer Aided Tracking and Characterization of Homicides) and CATCHRAPE, which analyze homicide and sexual assault data, respectively. The development of CATCH was made possible with the HITS (Homicide Investigation Tracking System) database system. The database contains several thousand violent crimes, primarily from the Pacific Northwest. The CATCH software assesses likely characteristics of unknown offenders, relates a specific crime case to other cases, and provides a tool for clustering similar cases that may be attributed to the same offenders. The three main concepts in CATCH that provide value to investigators are the clustering algorithm, database mining, and database visualization. The report includes a CATCH software manual. Figures, notes, references, bibliographies, appendix
Main Term(s): Criminology
Index Term(s): Computer software; Data analysis; Databases; Murder; NIJ final report; Offender classification; Offender profiles; Rape; Science and Technology
Note: For the Executive Summary See NCJ-190983
To cite this abstract, use the following link:
http://www.ncjrs.gov/App/publications/abstract.aspx?ID=190984

*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.