Scrutinize Analysis of Crime Investigation – Assigned Weighted Approach
Bibliographic Data
| ID | 15538347 |
|---|---|
| Authors | Thiagarajan Kittappa (0000-0003-0146-5849, Chennai Mathematical Institute, corresponding author), S Mrithul Snehal, J Amrutha, John Osborne (0000-0002-6602-0894), A Nishanth, Anish Anburaja (University of Maryland, Baltimore) |
| Year | 2023 |
| Volume | 20 |
| Issue | S13 |
| Pages | 322-329 |
| Publication date | 2023-12-20 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | MIGRATION LETTERS (JOURNAL) |
| Journal identifiers | ISSN: 1741-8984 • E-ISSN: 1741-8992 |
| Publisher | Dewspublication (PUBLISHER) |
| DOI | 10.59670/ml.v20is13.6462 |
| OpenAlex | W4390818839 |
| Language | EN |
| References cited | 2 |
This study focuses on trust rating between police records and observed current case’s data, employing a weighted graph approach to make informed decisions in different criminal investigations. Four distinct cases, ranging from theft to homicide, were examined, each with its own assigned trust levels. The outcomes of these cases varied, with trust ratings playing a significant role in influencing the final decisions made by law enforcement agencies. The results underscore the importance of considering specific evidence and circumstances in the determination of suspects guilt or innocence in AI based outputs
Computer security · Criminology · Enforcement · Homicide · Innocence · Internet privacy · Law enforcement · Medical emergency · Poison control · Political science · Computer Science · Crime Patterns and Interventions · Deception detection and forensic psychology · Human Factors and Ergonomics · Imbalanced Data Classification Techniques · Law · Medicine · Psychology · Social Psychology
| Highly cited | No |
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