Variational Autoencoder for Anomaly Detection in Event Data in Online Process Mining-Reference-Cited by-同舟云学术

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Variational Autoencoder for Anomaly Detection in Event Data in Online Process Mining

Published:2021 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 23rd International Conference on Enterprise Information Systems
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Author:

Krajsic Philippe¹,Franczyk Bogdan¹²

Affiliation:

1. Business Information Systems Institute, Leipzig University, Grimmaische Straße 12, Leipzig, Germany, --- Select a Country ---

2. Business Information Systems Institute, Wrocław University of Economics, ul. Komandorska 118-120, Poland, --- Select a Country ---

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine learning in business process management: A systematic literature review;Expert Systems with Applications;2024-11

2. GAMA: A multi-graph-based anomaly detection framework for business processes via graph neural networks;Information Systems;2024-09

3. Event log anomaly detection method based on auto-encoder and control flow;Multimedia Systems;2024-01-19

4. Latent Neural Network For Recognition of Annomalies in 3D-Print of a Scale Model for Wind Tunnel Measurements;2023 IEEE 10th International Workshop on Metrology for AeroSpace (MetroAeroSpace);2023-06-19

5. Deep reinforcement learning for data-efficient weakly supervised business process anomaly detection;Journal of Big Data;2023-03-12

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