Table 15 Item sets and the corresponding association rules resulted by the fuzzy ARL training
From: Anomaly detection in business processes using process mining and fuzzy association rule learning
Combination | Association rules | S | C |
|---|---|---|---|
2-item set | Skip sequence low-fraud | 2.229 | 0.162 |
Skip sequence medium-fraud | 2.446 | 0.196 | |
Skip decision low-fraud | 4.032 | 0.356 | |
Skip decision medium-fraud | 5.542 | 0.504 | |
Throughput min low-fraud | 24.023 | 0.265 | |
Throughput max medium-fraud | 21.568 | 0.320 | |
Throughput max high-fraud | 9.459 | 0.544 | |
Wrong resource low-fraud | 16.960 | 0.230 | |
Wrong resource medium-fraud | 17.652 | 0.207 | |
Wrong resource high-fraud | 118 | 1 | |
3-item set | Throughput min low-throughput max medium-fraud | 2.719 | 0.445 |
Throughput min low-wrong resource medium-fraud | 4.157 | 0.483 | |
Throughput min low-wrong duty combine low-fraud | 3.657 | 0.360 | |
Wrong resource low-wrong pattern low-fraud | 1.306 | 0.214 | |
Wrong resource medium-wrong duty sequence low-fraud | 1.612 | 0.213 | |
Wrong resource medium-wrong duty combine low-fraud | 4.166 | 0.320 | |
Wrong duty sequence low-wrong duty combine low-fraud | 3.120 | 0.290 | |
4-item set | Throughput min low-wrong resource medium-wrong duty combine low-fraud | 0.452 | 0.626 |
Throughput min medium-throughput max low-wrong resource low-fraud | 0.167 | 1 | |
Throughput min medium-throughput max low-wrong resource medium-fraud | 0.444 | 1 | |
Throughput min medium-throughput max low-wrong duty sequence medium-fraud | 0.560 | 0.577 | |
Throughput min medium-throughput max low-wrong duty combine low-fraud | 0.605 | 0.473 | |
Throughput min medium-throughput max medium-Wrong resource low-fraud | 0.615 | 0.481 |