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Graph Autoencoders for Business Process Anomaly Detection · Study

WorkGraph Autoencoders for Business Process Anomaly Detection

Siyu Huo2021

Work2021

Graph Autoencoders for Business Process Anomaly Detection

Siyu Huo · Hagen Völzer · P Srihith Reddy · Prerna Agarwal · Vatche Isahagian · Vinod Muthusamy

37 citations·0/0 files stored·Lecture notes in computer science

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Business Process Modeling and Analysis Software System Performance and Reliability Anomaly Detection Techniques and Applications

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References

2004Workflow mining: discovering process models from event logs 2012Process Mining Manifesto 2007Conformance checking of processes based on monitoring real behavior 2016Process Mining: Data Science in Action 2010APROMORE: An advanced process model repository 2013Dealing With Concept Drifts in Process Mining 2005Process Mining and Security: Detecting Anomalous Process Executions and Checking Process Conformance 2012Algorithms for anomaly detection of traces in logs of process aware information systems

Cited by

2024GAMA: A multi-graph-based anomaly detection framework for business processes via graph neural networks 2024Survey and Benchmark of Anomaly Detection in Business Processes 2023WAKE: A Weakly Supervised Business Process Anomaly Detection Framework via a Pre-Trained Autoencoder 2024Detecting Anomalous Events in Object-Centric Business Processes via Graph Neural Networks

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Papers that cite the same references — the relational fallback while embeddings are still backfilling.

2024GAMA: A multi-graph-based anomaly detection framework for business processes via graph neural networksarticle · 9 shared references 2023GRASPED: A GRU-AE Network Based Multi-Perspective Business Process Anomaly Detection Modelarticle · 8 shared references 2021Anomaly detection in business processes logs using social network analysisarticle · 8 shared references 2024Survey and Benchmark of Anomaly Detection in Business Processesarticle · 7 shared references 2023A Systematic Review of Anomaly Detection for Business Process Event Logsreview · 6 shared references 2024Machine learning in business process management: A systematic literature reviewreview · 6 shared references

Details

Year2021

Typeother

Published2021-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations37

Files0 public / 0

ShelfBusiness Process Modeling and Analysis

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doi10.1007/978-3-030-85469-0_26

openalex_workW3196366533

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