print

Efficient event log mining with LogClusterC

author
Zhuge, Chen
Vaarandi, Risto
statement of authorship
Chen Zhuge and Risto Vaarandi
source
The Third IEEE International Conference on Big Data Security on Cloud, IEEE BigDataSecurity 2017 : The Third IEEE International Conference on High Performance and Smart Computing, IEEE HPSC 2017 : The Second IEEE International Conference on Intelligent Data and Security, IEEE IDS 2017 : proceedings : 26-28 May 2017, Beijing, China
location of publication
Los Alamitos
publisher
IEEE
year of publication
2017
pages
p. 261-266 : tab
conference name, date
BigDataSecurity 2017 : The 3rd IEEE International Conference on Big Data Security on Cloud, May 26-28, 2017
conference location
Beijing, China
url
http://doi.org/10.1109/BigDataSecurity.2017.26
subject term
sündmuste logi
andmekaeve
algoritmid
keyword
event log clustering
mining line patterns from event logs
LogCluster algorithm
data clustering
data mining
ISBN
978-1-5090-6295-9
notes
Bibliogr.: 19 ref
TTÜ department
tarkvarateaduse instituut
language
inglise
Zhuge, C., Vaarandi, R. Efficient event log mining with LogClusterC // The Third IEEE International Conference on Big Data Security on Cloud, IEEE BigDataSecurity 2017 : The Third IEEE International Conference on High Performance and Smart Computing, IEEE HPSC 2017 : The Second IEEE International Conference on Intelligent Data and Security, IEEE IDS 2017 : proceedings : 26-28 May 2017, Beijing, China. Los Alamitos : IEEE, 2017. p. 261-266 : tab. http://doi.org/10.1109/BigDataSecurity.2017.26