Comparing Concept Drift Detection with Process Mining Tools
Author:
Affiliation:
1. State University of Londrina (UEL), Londrina, Brazil
2. Università degli Studi di Milano (UNIMI), Milano, Italy
Funder
Fundação Araucária
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3330204.3330240
Reference28 articles.
1. Replaying history on process models for conformance checking and performance analysis
2. A Framework for Human-in-the-loop Monitoring of Concept-drift Detection in Event Log Stream
3. Process mining in the large: preprocessing, discovery, and diagnostics. PhD thesis, Eindhoven University of Technology;Bose R.J. C.;Eindhoven,2012
4. Dealing With Concept Drifts in Process Mining
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2. An Experimental Evaluation of Process Concept Drift Detection;Proceedings of the VLDB Endowment;2023-04
3. A Benchmark of Process Drift Detection Tools: Experimental Protocol and Statistical Analysis;Artificial Intelligence and Soft Computing;2023
4. A Survey on Concept Drift in Process Mining;ACM Computing Surveys;2022-12-31
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