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使用多个资源导向机器学习的非法在线博网站检测

Moohong Min1, Donggi Augustine Lee2

  • 1Department of Computer Education/Social Innovation Convergence Program, Sungkyunkwan University, Seoul, 03063, South Korea. iceo@skku.edu.

Journal of gambling studies
|July 11, 2024
PubMed
概括

本研究介绍了一种机器学习模型,通过分析网站数据来检测绝对非法在线博 (AIOG). 该AIOG检测方法增强了网络安全,并打击非法在线活动带来的金融威胁.

关键词:
非法在线博是非法在线博.机器学习是机器学习.网络采矿是指网络采矿.

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