An Effective Data Sampling Procedure for Imbalanced Data Learning on Health Insurance Fraud Detection
Fraud detection has received considerable attention from many academic research and industries worldwide due to its increasing popularity. Insurance datasets are enormous, with skewed distributions and high dimensionality. Skewed class distribution and its volume are considered significant problems...
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| Formato: | article |
| Lenguaje: | EN |
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University of Zagreb Faculty of Electrical Engineering and Computing
2020
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| Acceso en línea: | https://doaj.org/article/ba5f73725a294efba99f3d1a452d98c5 |
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