GRASPED can detect anomalies not only from the control flow but also from the data perspective of a business process. GRASPED is based on an autoencoder (AE) ...
COMB: Interconnected Transformers-Based Autoencoder for Multi-Perspective Business Process Anomaly Detection. Conference Paper. Jul 2024. Yan Yao · Wei ...
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Apr 16, 2024 · We propose a business process anomaly correction method based on Transformer autoencoder. By using self-attention mechanism and autoencoder structure,
Missing: COMB: Multi- Perspective
COMB: Interconnected Transformers-Based Autoencoder for Multi-Perspective Business Process Anomaly Detection. W Guan, J Cao, Y Yao, Y Gu, S Qian. 2024 IEEE ...
Apr 16, 2024 · anomaly detection and anomaly correction based on Transformer autoencoder ... Multi-perspective anomaly detection in business pro- cess execution ...
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Oct 13, 2023 · This paper proposes an ID-constrained Transformer-based autoencoder (IDC-TransAE) architecture with weighted anomaly score computation for unsupervised ASD.
Missing: COMB: Business
This paper describes a novel approach to event log anomaly detection on event streams that uses statistical leverage. Leverage has been used extensively in ...
Our approach employs a modified transformer architecture for the task of anomaly detection in multivariate time-series data which relies on its ability to ...
Missing: Interconnected | Show results with:Interconnected
Jun 4, 2024 · This work investigates the application of a Transformer-based autoencoder for anomaly detection in unlabelled financial transaction data with ...
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Unlike traditional reconstruction accuracy-based methods, Omni-Anomaly leverages the reconstruction probabilities to assess the likelihood of data instances.