January 01, 2026 conference-paper Version Clustering: A Top-Down Approach for Process Concept Drift Detection Lecture notes in computer science DOI: 10.1007/978-3-032-28110-4_4 OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 3 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Explainable concept drift in process mining 2023 Information Systems article Business, Management and Accounting Business Process Modeling and Analysis 43 citations Time-aware Concept Drift Detection Using the Earth Mover’s Distance 2020 International Conference on Process Mining (ICPM) conference-paper Business, Management and Accounting Business Process Modeling and Analysis 35 citations An Experimental Evaluation of Process Concept Drift Detection 2023 Proceedings of the VLDB Endowment article Business, Management and Accounting Business Process Modeling and Analysis 16 citations 3 results