"A Novel Decomposed Process Discovery Method based Event Log Division" dataset
- Citation Author(s):
-
Kang Wang
(Shandong University of Science and Technology)
- Submitted by:
- Kang Wang
- Last updated:
- DOI:
- 10.21227/k4re-st85
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Abstract
No image data exists.The number of activities in the event logs are 52, 68, 30, 36, 35, and 56, respectively. Each event logs contains 2000 traces with 4 different average trace lengths. The event logs are divided into two categories: noisy and noise-free. In this paper, we selected 6 event logs with varying numbers of activities for experimentation. In addition, we have selected real event logs related to finance BPI2012_Loan origination and BPI201_Financial.
Instructions:
The number of activities in the event logs are 52, 68, 30, 36, 35, and 56, respectively. Each event logs contains 2000 traces with 4 different average trace lengths. The event logs are divided into two categories: noisy and noise-free. In this paper, we selected 6 event logs with varying numbers of activities for experimentation. In addition, we have selected real event logs related to finance BPI2012_Loan origination and BPI201_Financial.
