Data-driven software system log anomaly detection
Year of publication
2025
Authors
Hashemi Hosseinabad, Sayedshayan
Organizations and authors
University of Oulu
Hashemi Shayan 
Publication type
Publication format
Monograph
Audience
Scientific
MINEDU's publication type classification code
G5 Doctoral dissertation (articles)
Publication channel information
Journal
Acta Universitatis Ouluensis. Series A, Scientiae rerum naturalium
Publisher
Oulun yliopisto
Issue
808
Pages
70
ISSN
ISBN
Open access
Open access in the publisher’s service
Yes
Open access of publication channel
Fully open publication channel
License of the publisher’s version
Other license
Self-archived
No
Other information
Fields of science
Computer and information sciences; Electronic, automation and communications engineering, electronics
Keywords
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Publication country
Finland
Internationality of the publisher
Domestic
Language
English
International co-publication
No
Co-publication with a company
No
The publication is included in the Ministry of Education and Culture’s Publication data collection
Yes