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End-to-End AutoML for Unsupervised Log Anomaly Detection

Year: 2024

Type: conference-paper

Source: IEEE/ACM International Conference on Automated Software Engineering (ASE)

DOI: 10.1145/3691620.3695535

Authors: Shenglin Zhang, Yuhe Ji, Jiaqi Luan, Xiaohui Nie, Zi`ang Chen, Minghua Ma, Yongqian Sun, Dan Pei

Institutions: Nankai University, Chinese Academy of Sciences, Computer Network Information Center, Microsoft (United States), Tsinghua University

Language: English

Topic: Software System Performance and Reliability

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: National Natural Science Foundation of China

Awards: G2934107797, G5602403601, G8260126168

OpenAlex ID: W4403536207

FWCI: 3.638

Cites: 43

Cited by: 8

Related to: 10