Seeliger, Alexander ; Lüttgen, Stefan ; Mühlhäuser, Max ; Nolle, Timo (2020):
Extended synthetic event logs for multi-perspective trace clustering.
Darmstadt, Fachbereich Informatik - Telekooperation,
[Data]
Abstract
The data set contains an extended set of event logs for evaluating multi-perspective trace clustering approaches in process mining. Event logs were randomly generated from 5 different process models of different complexity levels. The attribute "cluster" refers to the ground truth label. Clusters can only be correctly identified when considering both, the data and the control flow perspective (attributes and trace). The extended dataset contains more noise levels as well as a different generation process regarding the case attributes.
| Item Type: | Data |
|---|---|
| Erschienen: | 2020 |
| Creators: | Seeliger, Alexander ; Lüttgen, Stefan ; Mühlhäuser, Max ; Nolle, Timo |
| Title: | Extended synthetic event logs for multi-perspective trace clustering |
| Language: | English |
| Abstract: | The data set contains an extended set of event logs for evaluating multi-perspective trace clustering approaches in process mining. Event logs were randomly generated from 5 different process models of different complexity levels. The attribute "cluster" refers to the ground truth label. Clusters can only be correctly identified when considering both, the data and the control flow perspective (attributes and trace). The extended dataset contains more noise levels as well as a different generation process regarding the case attributes. |
| Place of Publication: | Darmstadt |
| Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Telecooperation |
| Date Deposited: | 21 Feb 2022 10:01 |
| URL / URN: | https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2415 |
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