skip navigation

CrimeSolutions.gov

Add your conference to our Justice Events calendar

PUBLICATIONS

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.

How to Obtain Documents
 
NCJ Number: NCJ 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: 10/2000
Page Count: 69
Sponsoring Agency: National Institute of Justice
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
Document: PDF 
Type: Report (Study/Research)
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): Rape ; Computer software ; Science and Technology ; Murder ; Offender classification ; Data analysis ; Offender profiles ; Databases ; NIJ final report
Note: For the Executive Summary See NCJ-190983
   
  To cite this abstract, use the following link:
https://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 web site is provided.