A graph-based approach to detect unexplained sequences in a log

•A graph mining approach has been designed for recognizing anomalous sequences.•It supports both real time and batch processing for large scale data analysis.•A probabilistic penalty graph has been used for modeling log temporal sequences.•The approach’s effectiveness has been evaluated for differen...

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Veröffentlicht in:	Expert systems with applications 2021-06, Vol.171, p.114556, Article 114556
Hauptverfasser:	Cinque, Marcello, Della Corte, Raffaele, Moscato, Vincenzo, Sperlí, Giancarlo
Format:	Artikel
Sprache:	eng
Schlagworte:	Batch processing Data processing Event detection Graph mining Iterative methods Log analysis Model testing
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