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Table 12 The distribution of anomaly attributes among cases using a uniform (discrete) distribution

From: Anomaly detection in business processes using process mining and fuzzy association rule learning

Case

Skipped

Wrong throughput time

Wrong resources

Wrong duty

Wrong pattern

Wrong decision

Sequence

Decision

Min

Max

Sequence

Decision

Combine

1

0

0

0

0

0

0

0

1

0

0

2

0

0

1

0

1

1

0

0

0

1

3

0

0

0

0

1

0

0

0

0

1

4

0

0

0

0

1

1

0

0

0

0

5

0

0

0

0

0

0

0

0

0

0

6

0

0

1

0

1

1

0

0

0

0

7

0

0

0

1

1

0

0

0

0

1

8

0

0

0

0

1

0

0

1

0

0

9

0

0

0

1

0

0

0

0

0

0

10

0

0

0

0

0

0

0

0

0

0