GLAD-PAW: Graph-Based Log Anomaly Detection by Position Aware Weighted Graph Attention Network

Anomaly detection is a crucial and challenging subject that has been studied within diverse research areas. In this work, we focus on log data (especially computer system logs) which is a valuable source to investigate system status and detect system abnormality. In order to capture transition patte...

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Bibliographic Details
Published inAdvances in Knowledge Discovery and Data Mining Vol. 12712; pp. 66 - 77
Main Authors Wan, Yi, Liu, Yilin, Wang, Dong, Wen, Yujin
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2021
Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
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