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PGraphD*: Methods for Drift Detection and Localisation Using Deep Learning Modelling of Business Processes
This paper presents a set of methods, jointly called PGraphD*, which includes two new methods (PGraphDD-QM and PGraphDD-SS) for drift detection and one new method (PGraphDL) for drift localisation in business processes. The methods are based on deep learning and graphs, with PGraphDD-QM and PGraphDD...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9324690/ https://www.ncbi.nlm.nih.gov/pubmed/35885132 http://dx.doi.org/10.3390/e24070910 |