Auto loan fraud detection using dominance-based rough set approach versus machine learning methods

Author:

Błaszczyński Jerzy,de Almeida Filho Adiel T.,Matuszyk Anna,Szeląg Marcin,Słowiński Roman

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference83 articles.

1. Fraud detection system: a survey;Abdallah;Journal of Network and Computer Applications,2016

2. ACFE. (2016). Report to the Nations on occupational fraud and abuse. Technical report. Association of certified fraud examiners.

3. A survey of machine-learning and nature-inspired based credit card fraud detection techniques;Adewumi;International Journal of System Assurance Engineering and Management,2016

4. Baesens, B., Van Vlasselaer, V., Verbeke, W. (2015). Fraud analytics using descriptive, predictive, and social network techniques. JohnWiley & Sons, Inc. DOI: 10.1017/CBO9781107415324.004, arXiv:arXiv:1011.1669v3.

5. Feature engineering strategies for credit card fraud detection;Bahnsen;Expert Systems with Applications,2016

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