Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313559331> ?p ?o ?g. }
Showing items 1 to 73 of
73
with 100 items per page.
- W4313559331 endingPage "529" @default.
- W4313559331 startingPage "517" @default.
- W4313559331 abstract "Modern large-scale enterprise systems produce large volumes of logs that record detailed system runtime status and key events at key points. These logs are valuable for analyzing performance issues and understanding the status of the system. Anomaly detection plays an important role in service management and system maintenance, and guarantees the reliability and security of online systems. Logs are universal semi-structured data, which causes difficulties for traditional manual detection and pattern-matching algorithms. While some deep learning algorithms utilize neural networks to detect anomalies, these approaches have an over-reliance on manually designed features, resulting in the effectiveness of anomaly detection depending on the quality of the features. At the same time, the aforementioned methods ignore the underlying contextual information present in adjacent log entries. We propose a novel model called Logformer with two cascaded transformer-based heads to capture latent contextual information from adjacent log entries, and leverage pre-trained embeddings based on logs to improve the representation of the embedding space. The proposed model achieves comparable results on HDFS and BGL datasets in terms of metric accuracy, recall and F1-score. Moreover, the consistent rise in F1-score proves that the representation of the embedding space with pre-trained embeddings is closer to the semantic information of the log." @default.
- W4313559331 created "2023-01-06" @default.
- W4313559331 creator A5021917638 @default.
- W4313559331 creator A5030276633 @default.
- W4313559331 creator A5061195656 @default.
- W4313559331 creator A5075858981 @default.
- W4313559331 creator A5082504802 @default.
- W4313559331 creator A5091908162 @default.
- W4313559331 date "2023-01-01" @default.
- W4313559331 modified "2023-09-26" @default.
- W4313559331 title "Logformer: Cascaded Transformer for System Log Anomaly Detection" @default.
- W4313559331 cites W2096017373 @default.
- W4313559331 cites W2483144311 @default.
- W4313559331 cites W3206863391 @default.
- W4313559331 cites W4200307116 @default.
- W4313559331 doi "https://doi.org/10.32604/cmes.2023.025774" @default.
- W4313559331 hasPublicationYear "2023" @default.
- W4313559331 type Work @default.
- W4313559331 citedByCount "0" @default.
- W4313559331 crossrefType "journal-article" @default.
- W4313559331 hasAuthorship W4313559331A5021917638 @default.
- W4313559331 hasAuthorship W4313559331A5030276633 @default.
- W4313559331 hasAuthorship W4313559331A5061195656 @default.
- W4313559331 hasAuthorship W4313559331A5075858981 @default.
- W4313559331 hasAuthorship W4313559331A5082504802 @default.
- W4313559331 hasAuthorship W4313559331A5091908162 @default.
- W4313559331 hasBestOaLocation W43135593311 @default.
- W4313559331 hasConcept C119599485 @default.
- W4313559331 hasConcept C119857082 @default.
- W4313559331 hasConcept C124101348 @default.
- W4313559331 hasConcept C127413603 @default.
- W4313559331 hasConcept C153083717 @default.
- W4313559331 hasConcept C153180895 @default.
- W4313559331 hasConcept C154945302 @default.
- W4313559331 hasConcept C165801399 @default.
- W4313559331 hasConcept C41008148 @default.
- W4313559331 hasConcept C41608201 @default.
- W4313559331 hasConcept C66322947 @default.
- W4313559331 hasConcept C739882 @default.
- W4313559331 hasConcept C81669768 @default.
- W4313559331 hasConceptScore W4313559331C119599485 @default.
- W4313559331 hasConceptScore W4313559331C119857082 @default.
- W4313559331 hasConceptScore W4313559331C124101348 @default.
- W4313559331 hasConceptScore W4313559331C127413603 @default.
- W4313559331 hasConceptScore W4313559331C153083717 @default.
- W4313559331 hasConceptScore W4313559331C153180895 @default.
- W4313559331 hasConceptScore W4313559331C154945302 @default.
- W4313559331 hasConceptScore W4313559331C165801399 @default.
- W4313559331 hasConceptScore W4313559331C41008148 @default.
- W4313559331 hasConceptScore W4313559331C41608201 @default.
- W4313559331 hasConceptScore W4313559331C66322947 @default.
- W4313559331 hasConceptScore W4313559331C739882 @default.
- W4313559331 hasConceptScore W4313559331C81669768 @default.
- W4313559331 hasIssue "1" @default.
- W4313559331 hasLocation W43135593311 @default.
- W4313559331 hasOpenAccess W4313559331 @default.
- W4313559331 hasPrimaryLocation W43135593311 @default.
- W4313559331 hasRelatedWork W2076520961 @default.
- W4313559331 hasRelatedWork W2585261012 @default.
- W4313559331 hasRelatedWork W2606920467 @default.
- W4313559331 hasRelatedWork W2961085424 @default.
- W4313559331 hasRelatedWork W3203201894 @default.
- W4313559331 hasRelatedWork W3212974263 @default.
- W4313559331 hasRelatedWork W4306674287 @default.
- W4313559331 hasRelatedWork W4381956280 @default.
- W4313559331 hasRelatedWork W4385428320 @default.
- W4313559331 hasRelatedWork W4224009465 @default.
- W4313559331 hasVolume "136" @default.
- W4313559331 isParatext "false" @default.
- W4313559331 isRetracted "false" @default.
- W4313559331 workType "article" @default.