Comparisons of machine learning techniques for detecting fraudulent criminal identities

Author:

Kazemian HassanORCID,Shrestha SubekshaORCID

Funder

Horizon Europe

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference44 articles.

1. TensorFlow: learning functions at scale;Abadi,2016

2. Ahmed, S. R. (2020). Identity theft and identity fraud. In Preventing identity crime: identity theft and identity fraud (2nd ed., pp. 4–20). Boston.

3. Multi-layer data integration technique for combining heterogeneous crime data;Ahmed;Elsevier,2022

4. A parsimonious SVM model selection criterion for classification of real-world data sets via an adaptive population-based algorithm;Almasi;SpringerLink,2017

5. DEAL – ‘Deep Ensemble ALgorithm’ framework for credit card fraud detection in real-time data stream with Google TensorFlow;Arya;Taylor & Francis Online,2020

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