Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/40337| Title: | An Empirical Evaluation of Unsupervised Event Log Abstraction Techniques in Process Mining | Data Creator - person: | VAN HOUDT, Greg de Leoni, Massimiliano DEPAIRE, Benoit MARTIN, Niels |
Data Creator - organization: | Hasselt University University of Padua |
Data Curator - person: | VAN HOUDT, Greg | Data Curator - organization: | Hasselt University | Rights Holder - person: | VAN HOUDT, Greg | Rights Holder - organization: | Hasselt University | Publisher: | Zenodo | Issue Date: | 2023 | Abstract: | This upload contains the event logs, generated by L-Sim, on which the experiments of the related paper were performed. The related paper is published in the journal Information Systems (March 2024). | Research Discipline: | Natural sciences > Information and computing sciences > Artificial intelligence > Data mining (01020102) | Keywords: | Process Mining;Event Data;Abstraction;Unsupervised Learning | DOI: | 10.5281/zenodo.6793544 | Link to publication/dataset: | https://zenodo.org/record/6793544 | Source: | Zenodo. 10.5281/zenodo.6793544 https://zenodo.org/record/6793544 | Publications related to the dataset: | 10.1016/j.is.2023.102320 | License: | Creative Commons Attribution 4.0 International (CC-BY-4.0) | Access Rights: | Open Access | Version: | 1.0.0 | Category: | DS | Type: | Dataset |
| Appears in Collections: | Datasets |
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