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NCJ Number:
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NCJ 190984
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Title:
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Artificial Neural Network System for Classification of Offenders in Murder and Rape Cases
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Author(s):
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L. J. Kangas
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Corporate Author:
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Battelle Memorial Institute
United States
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Date Published:
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10/2000 |
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Page Count:
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69 |
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Sponsoring Agency:
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Grant Number:
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97-IJ-CX-K007 |
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Sale Source:
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NCJRS Photocopy Services
Box 6000
Rockville, MD 20849-6000
United States
Battelle Memorial Institute
Pacific Northwest Division
Richland, WA 99352
United States |
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Document:
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PDF |
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Agency Summary:
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Agency Summary |
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Type:
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Studies/research reports |
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Language:
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English |
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Country:
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United States |
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Annotation:
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This report describes an artificial neural network system for classifying offenders in murder and rape cases. |
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Abstract:
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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 |
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Main Term(s):
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Criminology |
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Index Term(s):
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Rape ; Computer software ; Technology ; Murder ; Offender classification ; Data analysis ; Offender profiles ; Databases ; NIJ final report |
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Note:
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For the Executive Summary See NCJ-190983 |
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To cite this abstract, use the following link:
https://www.ncjrs.gov/App/Publications/abstract.aspx?ID=190984
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* 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.
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