Table 6 Assesment of occurrences for a case
From: Anomaly detection in business processes using process mining and fuzzy association rule learning
Anomaly attributes | Expert 1 | Expert 2 | Expert 3 | Expert 4 | Linguistic occurences |
|---|---|---|---|---|---|
Skipped | Â | Â | Â | Â | Â |
 Sequence | W | W | W | W | BVW and W |
 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 | 0 |
 Wrong duty | 0 | 0 | 0 | 0 | 0 |
  Sequence | 0 | 0 | 0 | 0 | 0 |
  Decision | 0 | 0 | 0 | 0 | 0 |
  Combine | 0 | 0 | 0 | 0 | 0 |
Wrong pattern | BVW and W | BVW and W | BVW and W | BVW and W | VW |
Wrong decision | 0 | 0 | 0 | 0 | 0 |