AFALog: A General Augmentation Framework for Log-based Anomaly Detection with Active Learning

Research article (2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE), 2023) · cited 15× · AI/ML
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AFALog: A General Augmentation Framework for Log-based Anomaly Detection with Active Learning

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AFALog: A General Augmentation Framework for Log-based Anomaly Detection with Active Learning is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). AFALog: A General Augmentation Framework for Log-based Anomaly Detection with Active Learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/afalog-a-general-augmentation-framework-for-log-based-anomaly-detection-with-active-learning
MLA “AFALog: A General Augmentation Framework for Log-based Anomaly Detection with Active Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/afalog-a-general-augmentation-framework-for-log-based-anomaly-detection-with-active-learning.
BibTeX @misc{4ortxyz_afalog-a-general-augmentation-framework-for-log-based-anomaly-detection-with-active-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{AFALog: A General Augmentation Framework for Log-based Anomaly Detection with Active Learning}}, year = {2026}, url = {https://4ort.xyz/entity/afalog-a-general-augmentation-framework-for-log-based-anomaly-detection-with-active-learning}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): AFALog: A General Augmentation Framework for Log-based Anomaly Detection with Active Learning — https://4ort.xyz/entity/afalog-a-general-augmentation-framework-for-log-based-anomaly-detection-with-active-learning (retrieved 2026-05-24)

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