LogGAN: a Log-level Generative Adversarial Network for Anomaly Detection using Permutation Event Modeling

Research article (Information Systems Frontiers, 2020) · cited 49× · AI/ML
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LogGAN: a Log-level Generative Adversarial Network for Anomaly Detection using Permutation Event Modeling

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LogGAN: a Log-level Generative Adversarial Network for Anomaly Detection using Permutation Event Modeling is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). LogGAN: a Log-level Generative Adversarial Network for Anomaly Detection using Permutation Event Modeling. Retrieved May 24, 2026, from https://4ort.xyz/entity/loggan-a-log-level-generative-adversarial-network-for-anomaly-detection-using-permutation-event-modeling
MLA “LogGAN: a Log-level Generative Adversarial Network for Anomaly Detection using Permutation Event Modeling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/loggan-a-log-level-generative-adversarial-network-for-anomaly-detection-using-permutation-event-modeling.
BibTeX @misc{4ortxyz_loggan-a-log-level-generative-adversarial-network-for-anomaly-detection-using-permutation-event-modeling_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{LogGAN: a Log-level Generative Adversarial Network for Anomaly Detection using Permutation Event Modeling}}, year = {2026}, url = {https://4ort.xyz/entity/loggan-a-log-level-generative-adversarial-network-for-anomaly-detection-using-permutation-event-modeling}, note = {Accessed: 2026-05-24}}
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