Optimizing Feature Selection and Oversampling Using Metaheuristic Algorithms for Binary Fraud Detection Classification

Mariam M. Biltawi, Raneem Qaddoura, Hossam Faris

Open source

DOI
10.1007/978-3-031-34111-3_38
Published
2023
Container
IFIP Advances in Information and Communication Technology
Publisher
Springer Nature Switzerland
Open access
unknown

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BibTeX

@article{allodium:10.1007/978-3-031-34111-3_38,
  title = {Optimizing Feature Selection and Oversampling Using Metaheuristic Algorithms for Binary Fraud Detection Classification},
  author = {Mariam M. Biltawi and Raneem Qaddoura and Hossam Faris},
  year = {2023},
  journal = {IFIP Advances in Information and Communication Technology},
  doi = {10.1007/978-3-031-34111-3_38},
  url = {https://doi.org/10.1007/978-3-031-34111-3_38}
}

RIS

TY  - JOUR
TI  - Optimizing Feature Selection and Oversampling Using Metaheuristic Algorithms for Binary Fraud Detection Classification
AU  - Mariam M. Biltawi
AU  - Raneem Qaddoura
AU  - Hossam Faris
PY  - 2023
JO  - IFIP Advances in Information and Communication Technology
DO  - 10.1007/978-3-031-34111-3_38
UR  - https://doi.org/10.1007/978-3-031-34111-3_38
ER  - 

APA

Biltawi, M. M., Qaddoura, R., & Faris, H. (2023). Optimizing Feature Selection and Oversampling Using Metaheuristic Algorithms for Binary Fraud Detection Classification. IFIP Advances in Information and Communication Technology. https://doi.org/10.1007/978-3-031-34111-3_38

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