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doi: 10.5281/zenodo.20030
This file contains the dataset we used for the evaluation of the multi-perspective Declare analysis. Logs In particular, it contains logs with different sizes and different trace lengths. We generated traces with 10, 20, 30, 40, and 50 events and, for each of these lengths, we generated logs with 25000, 50000, 75000, and 100000 traces. Therefore, in total, there are 20 logs. Declare models In addition, the dataset contains 10 Declare models. In particular, we prepared two models with 10 constraints, one only containing constraints on the control-flow (without conditions on data and time), and another one including real multi-perspective constraints (with conditions on time and data). We followed the same procedure to create models with 20, 30, 40, and 50 constraints.
process mining, event stream, artificial dataset, event log
process mining, event stream, artificial dataset, event log
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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