detect_batching: Detect Batch Behavior in a Task Log
In nielsmartin/bama: Batch Behavior Identification for Event Logs

Description Usage Arguments

View source: R/bama_detection.R

Detect batch behavior using the Bama algorithm based on a plain task log.

detect_batching(
  task_log,
  act_seq_tolerated_gap_list,
  timestamp_format = "yyyy-mm-dd hh:mm:ss",
  numeric_timestamps = TRUE,
  log_and_model_based,
  subsequence_list,
  subsequence_type,
  within_case_seq_tolerated_gap = 0,
  between_cases_seq_tolerated_gap = 0,
  show_progress = T
)

`task_log`	The task log containing task or activity instances.
`act_seq_tolerated_gap_list`	List containing the tolerated time gap for a particular each activity (used for sequential batching detection)
`timestamp_format`	Format in which the timestamps are specified
`numeric_timestamps`	Boolean indicating whether timestamps are expressed numerically (instead of in POSIXct format)
`log_and_model_based`	Boolean indicating whether a notion of the process model is present (i.e. whether arrival times are contained in the activity log)
`subsequence_list`	List of subsequences for which case-based sequential/concurrent batching needs to be checked
`subsequence_type`	Reflects the way in which subsequences are generated: by enumeration (enum) or using a sequence mining method (mine)
`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.