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Deep Learning for Anomaly Detection in Log Data: A Survey

Deep Learning for Anomaly Detection in Log Data: A Survey

8 July 2022
Max Landauer
Sebastian Onder
Florian Skopik
Markus Wurzenberger
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Papers citing "Deep Learning for Anomaly Detection in Log Data: A Survey"

5 / 5 papers shown
Title
System Log Parsing with Large Language Models: A Review
System Log Parsing with Large Language Models: A Review
Viktor Beck
Max Landauer
Markus Wurzenberger
Florian Skopik
Andreas Rauber
33
0
0
07 Apr 2025
Log Anomaly Detection on EuXFEL Nodes
Log Anomaly Detection on EuXFEL Nodes
Antonin Sulc
Annika Eichler
T. Wilksen
8
0
0
13 Oct 2023
A2Log: Attentive Augmented Log Anomaly Detection
A2Log: Attentive Augmented Log Anomaly Detection
Thorsten Wittkopp
Alexander Acker
S. Nedelkoski
Jasmin Bogatinovski
Dominik Scheinert
Wu Fan
O. Kao
19
22
0
20 Sep 2021
Comparison of Evolving Granular Classifiers applied to Anomaly Detection
  for Predictive Maintenance in Computing Centers
Comparison of Evolving Granular Classifiers applied to Anomaly Detection for Predictive Maintenance in Computing Centers
Leticia Decker
Daniel F Leite
Fabio Viola
D. Bonacorsi
16
13
0
08 Apr 2020
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
31,150
0
16 Jan 2013
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