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Updated: Jan 28, 2026

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通过增强的开普勒优化和基于幽灵对立的学习来解决欺诈检测问题.

Ria H Egami1, Amr A Abd El-Mageed2,3, Mona Gafar4

  • 1Department of Mathematics, College of Science and Humanity, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia.

Frontiers in artificial intelligence
|January 26, 2026
PubMed
概括

本研究介绍了BKOA-GOBL,这是一种先进的欺诈检测方法,可以显著提高在线威胁的特征选择和准确性. 它在检测欺诈和恶意软件方面优于现有的算法,即使数据不平衡.

关键词:
开普勒优化算法 开普勒优化算法功能选择 功能选择发现欺诈 发现欺诈幽灵基于对立的学习 (GOBL)机器学习是机器学习.听算法 (Metaheuristic Algorithms) 是一种算法,可以通过

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