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Handling Concept Drift for Predictions in Business Process Mining
12 May 2020
Lucas Baier
J. Reimold
Niklas Kühl
AI4TS
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Papers citing
"Handling Concept Drift for Predictions in Business Process Mining"
7 / 7 papers shown
Title
StreamEnsemble: Predictive Queries over Spatiotemporal Streaming Data
Anderson Chaves
Eduardo S. Ogasawara
P. Valduriez
Fábio Porto
AI4TS
39
0
0
30 Sep 2024
Machine learning in business process management: A systematic literature review
Sven Weinzierl
Sandra Zilker
Sebastian Dunzer
Martin Matzner
82
15
0
26 May 2024
Targeted aspect-based emotion analysis to detect opportunities and precaution in financial Twitter messages
Silvia García-Méndez
Francisco de Arriba-Pérez
Ana Barros-Vila
Francisco J. González Castaño
61
11
0
30 Mar 2024
Measuring the Stability of Process Outcome Predictions in Online Settings
Suhwan Lee
M. Comuzzi
Xixi Lu
H. Reijers
57
0
0
13 Oct 2023
Tailoring Machine Learning for Process Mining
Paolo Ceravolo
Sylvio Barbon Junior
Ernesto Damiani
Wil M.P. van der Aalst
AI4TS
67
7
0
17 Jun 2023
Machine Learning for QoS Prediction in Vehicular Communication: Challenges and Solution Approaches
Alexandros Palaios
Christian L. Vielhaus
D. Külzer
Cara Watermann
Rodrigo Hernangómez
...
Martin Kasparick
G. Fettweis
F. Fitzek
Hans D. Schotten
Sławomir Stańczak
59
13
0
23 Feb 2023
ProcK: Machine Learning for Knowledge-Intensive Processes
Tobias Jacobs
Jingyi Yu
J. Gastinger
T. Sztyler
13
1
0
10 Sep 2021
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