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Visual Drift Detection for Sequence Data Analysis of Business Processes
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Visual Drift Detection for Sequence Data Analysis of Business Processes

Anton Yeshchenko
Claudio Di Ciccio
Jan Mendling
Artem Polyvyanyy
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Papers citing "Visual Drift Detection for Sequence Data Analysis of Business Processes"

3 / 3 papers shown
Title
A Review of AI and Machine Learning Contribution in Predictive Business Process Management (Process Enhancement and Process Improvement Approaches)
A Review of AI and Machine Learning Contribution in Predictive Business Process Management (Process Enhancement and Process Improvement Approaches)
Mostafa Abbasi
R. Nishat
Corey Bond
J. B. Graham-Knight
Patricia Lasserre
Yves Lucet
Homayoun Najjaran
57
0
0
07 Jul 2024
Process Variant Analysis Across Continuous Features: A Novel Framework
Process Variant Analysis Across Continuous Features: A Novel Framework
Ali Norouzifar
Majid Rafiei
Marcus Dees
Wil M.P. van der Aalst
32
1
0
06 May 2024
Measuring Rule-based LTLf Process Specifications: A Probabilistic Data-driven Approach
Measuring Rule-based LTLf Process Specifications: A Probabilistic Data-driven Approach
Alessio Cecconi
Luca Barbaro
Claudio Di Ciccio
Arik Senderovich
39
0
0
09 May 2023