Workflow Management System's Process Data-set for Anomaly Detection
| Main Author: | Saini, Veena |
|---|---|
| Format: | Dataset |
| Terbitan: |
Mendeley
, 2019
|
| Subjects: | |
| Online Access: |
https:/data.mendeley.com/datasets/5yb2xv93w3 |
Daftar Isi:
- This Dataset is created by using JIRA default workflow as a reference model. NormalTraces contains process sequences which are as per the JIRA workflow model. Anomalies are created using these two alternatives: (a) A new activity is introduced. (b) Transitions which are not part of the JIRA workflow (for example "Reopened;Open"), have been inserted in the normal traces. The complete dataset contains 280 artificially created event logs.This dataset is suitable for both process mining and sequence-based anomaly detection experiments. The readme.txt file has more details about the data-set.