Detect batch behavior using the Bama algorithm based on a bupaR event log.
1 2 3 4 5 6 7 8 9 10 | detect_batching_log(
log,
subsequence_type = c("mine", "enum"),
subsequence_min_support = 0.01,
seq_tolerated_gap = 0,
within_case_seq_tolerated_gap = seq_tolerated_gap,
between_cases_seq_tolerated_gap = seq_tolerated_gap,
arrival_event_gap = NULL,
show_progress = T
)
|
log |
The 'bupaR' event log object that should be animated |
subsequence_type |
How to determine the subsequence list containing all sets of combinations for which case-based batching behavior will be detected. Either 'enum' for exhaustive enumeration (which is often infeasible) or 'mine' for using frequent sequence mining via the SPADE algoritm |
subsequence_min_support |
The minimum support require when using frequent sequence mining. |
seq_tolerated_gap |
The sequential tolerated gapfor each activity. Only when activity instances follow each other within that gap time, they will form a sequential batch. The default is 0. |
within_case_seq_tolerated_gap |
Tolerated time gap to detect sequential batching between activities within a particular case |
between_cases_seq_tolerated_gap |
Tolerated time gap to detect sequential batching between (aggregated) activities over several cases |
show_progress |
Whether to show a progress bar in the console. |
act_seq_tolerated_gap_list |
List containing the tolerated time gap for a particular each activity (used for sequential batching detection) |
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