Table 3 Weights of anomaly attributes
From: Anomaly detection in business processes using process mining and fuzzy association rule learning
Anomaly attributes | L | M1 | M2 | U |
|---|---|---|---|---|
Skipped | ||||
 Sequence | 0 | 0.3 | 0.3 | 0.5 |
 Decision | 0.7 | 1 | 1 | 1 |
Wrong throughput time | ||||
 Min | 0.425 | 0.65 | 0.65 | 0.95 |
 Max | 0.275 | 0.55 | 0.55 | 0.85 |
Wrong resource | 0 | 0.3 | 0.3 | 0.5 |
Wrong duty | ||||
 Sequence | 0 | 0 | 0 | 0.3 |
 Decision | 0 | 0.3 | 0.3 | 0.5 |
 Combine | 0 | 0.3 | 0.3 | 0.5 |
Wrong pattern | 0 | 0.3 | 0.3 | 0.5 |
Wrong decision | 0.7 | 1 | 1 | 1 |