Log Sequence Anomaly Detection Based on Local Information Extraction and Globally Sparse Transformer Model

Research article (IEEE Transactions on Network and Service Management, 2021) · cited 45× · AI/ML
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Log Sequence Anomaly Detection Based on Local Information Extraction and Globally Sparse Transformer Model

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Log Sequence Anomaly Detection Based on Local Information Extraction and Globally Sparse Transformer Model is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Log Sequence Anomaly Detection Based on Local Information Extraction and Globally Sparse Transformer Model. Retrieved May 24, 2026, from https://4ort.xyz/entity/log-sequence-anomaly-detection-based-on-local-information-extraction-and-globally-sparse-transformer-model
MLA “Log Sequence Anomaly Detection Based on Local Information Extraction and Globally Sparse Transformer Model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/log-sequence-anomaly-detection-based-on-local-information-extraction-and-globally-sparse-transformer-model.
BibTeX @misc{4ortxyz_log-sequence-anomaly-detection-based-on-local-information-extraction-and-globally-sparse-transformer-model_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Log Sequence Anomaly Detection Based on Local Information Extraction and Globally Sparse Transformer Model}}, year = {2026}, url = {https://4ort.xyz/entity/log-sequence-anomaly-detection-based-on-local-information-extraction-and-globally-sparse-transformer-model}, note = {Accessed: 2026-05-24}}
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