Identification of criminal case diagnostic issues: A modular ann approach
Journal article
Authors/Editors
Strategic Research Themes
No matching items found.
Publication Details
Author list: Thammaboosadee S., Watanapa B.
Publisher: World Scientific Publishing
Publication year: 2013
Journal: International Journal of Information Technology & Decision Making (0219-6220)
Volume number: 12
Issue number: 3
Start page: 523
End page: 546
Number of pages: 24
ISSN: 0219-6220
eISSN: 1793-6845
Languages: English-Great Britain (EN-GB)
View in Web of Science | View on publisher site | View citing articles in Web of Science
Abstract
A knowledge discovery model has been developed to manage the facts discovered in criminal cases in the court of law and to identify the relevant diagnostic issues. This study focuses on the offence against life and body section of the criminal law codes of Thailand. To identify the criminal case diagnostic issues, a set of artificial neural networks (ANN) classifiers is heuristically configured and modularly organized to operate upon the discovered facts. This modular network of ANNs forms an effective system in terms of determining power and ability to trace or infer the relevant reasoning of such a determination. Experiments have been conducted to demonstrate the applicability of ANN for various case studies and to generate comparative results for providing insights into both technical and legal aspects of these cases. In this study, a modular ANN with the support of Principal Component Analysis (PCA) as an automatic input selection mechanism provided the best results with accuracy up to 99%, using 10-fold cross-validation. A sample case is included to illustrate the effectiveness of the proposed system. ฉ 2013 World Scientific Publishing Company.
Keywords
Diagnostic issues, Knowledge discovery, Modular neural network
Contact Information