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A Framework for Explainable Concept Drift Detection in Process Mining

A Framework for Explainable Concept Drift Detection in Process Mining

27 May 2021
Jan Niklas Adams
S. V. Zelst
Lara Quack
Kathrin Hausmann
Wil M.P. van der Aalst
Thomas Rose
ArXivPDFHTML

Papers citing "A Framework for Explainable Concept Drift Detection in Process Mining"

3 / 3 papers shown
Title
Process Mining Meets Causal Machine Learning: Discovering Causal Rules
  from Event Logs
Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs
Z. Bozorgi
Irene Teinemaa
Marlon Dumas
M. Rosa
Artem Polyvyanyy
CML
AI4TS
21
45
0
03 Sep 2020
Detecting sudden and gradual drifts in business processes from execution
  traces
Detecting sudden and gradual drifts in business processes from execution traces
Abderrahmane Maaradji
Marlon Dumas
M. Rosa
Alireza Ostovar
AI4TS
19
79
0
07 May 2020
Comprehensive Process Drift Detection with Visual Analytics
Comprehensive Process Drift Detection with Visual Analytics
Anton Yeshchenko
Claudio Di Ciccio
Jan Mendling
Artem Polyvyanyy
AI4TS
30
46
0
15 Jul 2019
1