Privacy-Preserving Process Model Discovery Using Fully Homomorphic and Quantum-Safe Encryption

Machine Learning and Knowledge Extraction

DOI: 10.3390/make8090287 Full text (OA) OpenAlex

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Process Mining: A 360 Degree Overview
2022 Lecture notes in business information processing book-chapter Business, Management and Accounting Business Process Modeling and Analysis Open access

176

citations
Privacy-Preserving Process Mining in Healthcare
2020 International Journal of Environmental Research and Public Health article Computer Science Privacy-Preserving Technologies in Data Open access

95

citations
Privacy and Confidentiality in Process Mining: Threats and Research Challenges
2021 ACM Transactions on Management Information Systems article Business, Management and Accounting Business Process Modeling and Analysis Open access

48

citations
Group-based privacy preservation techniques for process mining
2021 Data & Knowledge Engineering article Computer Science Privacy-Preserving Technologies in Data Open access

48

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
Supporting Confidentiality in Process Mining Using Abstraction and Encryption
2020 Lecture notes in business information processing conference-paper Business, Management and Accounting Business Process Modeling and Analysis Open access

23

citations
How Can Interactive Process Discovery Address Data Quality Issues in Real Business Settings? Evidence from a Case Study in Healthcare
2022 Journal of Biomedical Informatics article Business, Management and Accounting Business Process Modeling and Analysis Open access

22

citations

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