Title :
LogCluster - A data clustering and pattern mining algorithm for event logs
Author :
Risto Vaarandi;Mauno Pihelgas
Author_Institution :
TUT Centre for Digital Forensics and Cyber Security, Tallinn University of Technology, Tallinn, Estonia
Abstract :
Modern IT systems often produce large volumes of event logs, and event pattern discovery is an important log management task. For this purpose, data mining methods have been suggested in many previous works. In this paper, we present the LogCluster algorithm which implements data clustering and line pattern mining for textual event logs. The paper also describes an open source implementation of LogCluster.
Keywords :
"Yttrium","Decision support systems","Manganese","Filtering"
Conference_Titel :
Network and Service Management (CNSM), 2015 11th International Conference on
DOI :
10.1109/CNSM.2015.7367331