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All Projects → logpai → Awesome Log Analysis

logpai / Awesome Log Analysis

Licence: mit
A list of awesome research on log analysis, anomaly detection, fault localization, and AIOps

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log-analysis

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Awesome Log Analysis

A curated list of awesome publications and researchers on log analysis, anomaly detection, fault localization, and AIOps.

Recent Papers

Researchers

China (& HK)
Michael R. Lyu, CUHK Dongmei Zhang, Microsoft Pengfei Chen, SYSU Dan Pei, Tsinghua
USA
Yuanyuan Zhou, UCSD Tao Xie, UIUC Dawson Engler, Stanford Ben Liblit, Wisconsin–Madison
Canada
Ding Yuan, Toronto University Ahmed E. Hassan, Queen's University Weiyi Shang, Concordia University Zhen Ming (Jack) Jiang, York University
Wahab Hamou-Lhadj, Concordia University
UK
Europe
Australia
Ingo Weber, CSIRO

Conferences and Journals

Logs are a type of valuable data generated from many sources such as software, systems, networks, devices, etc. They have also been used for a number of tasks related to reliability, security, performance, and energy. Therefore, the research of log analysis has attracted interests from different research areas.

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