Name
Abstract | ||
|---|---|---|
Process discovery is an important area in the field of process mining, where most discovery algorithms focus on process control-flow, giving little attention to the data-flow perspective. As a result, the discovered process models lack information about data dependencies, and process experts need to manually enrich the discovered process models accordingly. This requires deep domain knowledge, is ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/EDOC52215.2021.00023 | 2021 IEEE 25th International Enterprise Distributed Object Computing Conference (EDOC) |
Keywords | DocType | ISSN |
process mining,business process,data object,data object lifecycle | Conference | 2325-6354 |
ISBN | Citations | PageRank |
978-1-6654-3579-6 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dorina Bano | 1 | 1 | 1.72 |
| Francesca Zerbato | 2 | 0 | 0.68 |
| Barbara Weber | 3 | 0 | 0.34 |
| Mathias Weske | 4 | 0 | 0.34 |