Table 7 Evaluation of anomaly attribute occurrence rate for a case (S)
From: Anomaly detection in business processes using process mining and fuzzy association rule learning
Anomaly attributes | L | M1 | M2 | U | L |
|---|---|---|---|---|---|
Skipped | |||||
 Sequence | 0.1 | 0.2 | 0.3 | 0.4 | 0.1 |
 Decision | 0 | 0 | 0 | 0 | 0 |
Wrong throughput time | |||||
 Min | 0 | 0 | 0 | 0 | 0 |
 Max | 0 | 0 | 0 | 0 | 0 |
Wrong resource | 0 | 0 | 0 | 0 | Â |
Wrong duty | |||||
 Sequence | 0 | 0 | 0 | 0 | 0 |
 Decision | 0 | 0 | 0 | 0 | 0 |
 Combine | 0 | 0 | 0 | 0 | 0 |
Wrong pattern | 0 | 0.1 | 0.2 | 0.3 | 0 |
Wrong decision | 0 | 0 | 0 | 0 | 0 |