May 02, 2018 article Open access Discovering more precise process models from event logs by filtering out chaotic activities Journal of Intelligent Information Systems DOI: 10.1007/s10844-018-0507-6 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 5 stored of 65 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 Object-centric event-data imperfection patterns 2026 Information Systems article Business, Management and Accounting Business Process Modeling and Analysis Open access 1 citations PROMISE: Coupling predictive process mining to process discovery 2022 Information Sciences article Business, Management and Accounting Business Process Modeling and Analysis Open access 15 citations Demystifying Noise and Outliers in Event Logs: Review and Future Directions 2022 Lecture notes in business information processing conference-paper Business, Management and Accounting Business Process Modeling and Analysis 19 citations The impact of biased sampling of event logs on the performance of process discovery 2021 Computing article Business, Management and Accounting Business Process Modeling and Analysis Open access 25 citations Events Put into Context (EPiC) 2020 International Conference on Process Mining (ICPM) conference-paper Business, Management and Accounting Business Process Modeling and Analysis 9 citations 5 results References 0