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Semi-Supervised Anomaly Detection in Business Process Event Data using Self-Attention based Classification

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References

2006Workflow control-flow patterns : a revised view517 cited
2016Filtering Out Infrequent Behavior from Business Process Event Logs164 cited
2020Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction114 cited
2018Analyzing business process anomalies using autoencoders112 cited
2019BINet: Multi-perspective business process anomaly classification96 cited
2017Filtering out infrequent behavior from business process event logs92 cited
2018BINet: Multivariate Business Process Anomaly Detection Using Deep Learning88 cited
2018Improving Process Discovery Results by Filtering Outliers Using Conditional Behavioural Probabilities72 cited
2018Filtering Spurious Events from Event Streams of Business Processes43 cited
2021Evaluating Trace Encoding Methods in Process Mining33 cited
2015PLG2: Multiperspective Processes Randomization and Simulation for Online and Offline Settings30 cited

Cited by

2024Survey and Benchmark of Anomaly Detection in Business Processes21 cited
2023WAKE: A Weakly Supervised Business Process Anomaly Detection Framework via a Pre-Trained Autoencoder21 cited
2023Does This Make Sense? Machine Learning-Based Detection of Semantic Anomalies in Business Processes

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15 cited