Bug-Database: https://github.com/ait-aecid/logdata-anomaly-miner/issues
Bug-Submit: https://github.com/ait-aecid/logdata-anomaly-miner/issues/new
Changelog: https://github.com/ait-aecid/logdata-anomaly-miner/blob/main/changelog
Documentation: https://github.com/ait-aecid/logdata-anomaly-miner/blob/main/README.md
Other-References: https://aecid.ait.ac.at/further-information/
Reference:
 - Author: Markus Wurzenberger and Florian Skopik and Giuseppe Settanni and Roman Fiedler
   Booktitle: Proceedings of the 4th International Conference on Information Systems Security and Privacy
   DOI: 10.5220/0006643003860397
   ISBN: 978-989-758-282-0
   Pages: 386-397
   Publisher: SciTePress
   Title: "AECID: A Self-learning Anomaly Detection Approach based on Light-weight Log Parser Models"
   Type: inproceedings
   URL: https://www.scitepress.org/Link.aspx?doi=10.5220/0006643003860397
   Year: 2018
Repository: https://github.com/ait-aecid/logdata-anomaly-miner.git
Repository-Browse: https://github.com/ait-aecid/logdata-anomaly-miner
Security-Contact: https://github.com/ait-aecid/logdata-anomaly-miner/blob/main/SECURITY.md
