most citedLog2graphs: An Unsupervised Framework for Log Anomaly Detection with Efficient Feature Extraction

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cs.CR2024★ 1 cited

Log2graphs: An Unsupervised Framework for Log Anomaly Detection with Efficient Feature Extraction

Caihong Wang, Du Xu, Zonghang Li

In the era of rapid Internet development, log data has become indispensable for recording the operations of computer devices and software. These data provide valuable insights into…