Name
Abstract | ||
|---|---|---|
Privacy-preserving process mining enables the analysis of business processes using event logs, while giving guarantees on the protection of sensitive information on process stakeholders. To this end, existing approaches add noise to the results of queries that extract properties of an event log, such as the frequency distribution of trace variants, for analysis. Noise insertion neglects the semant... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICPM53251.2021.9576857 | 2021 3rd International Conference on Process Mining (ICPM) |
Keywords | DocType | ISBN |
Privacy,Differential privacy,Laplace equations,Semantics,Process control,Stakeholders,Business | Conference | 978-1-6654-3514-7 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stephan A. Fahrenkrog-Petersen | 1 | 2 | 2.72 |
| Martin Kabierski | 2 | 0 | 0.34 |
| Fabian Rösel | 3 | 0 | 0.34 |
| Han van der Aa | 4 | 3 | 1.73 |
| Matthias Weidlich | 5 | 1409 | 89.37 |