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...

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Bibliographic Details
Main Authors: Gaber, M.M (Author), Hanga, K.M (Author), Kovalchuk, Y. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Online Access:View Fulltext in Publisher