heuristicsmineR (version 0.3.0)

dependency_type_lifecycle: Dependency type based on time intervals

Description

Computes the dependencies based on the approach taking into account activity durations based on life-cycle transitions.

Usage

dependency_type_lifecycle(
  threshold_dependency = 0.9,
  threshold_l1 = threshold_dependency,
  threshold_frequency = 0,
  all_connected = FALSE,
  endpoints_connected = FALSE
)

Value

A dependency type.

Arguments

threshold_dependency

A dependency threshold, usually in the interval [0,1], filtering out dependencies below the threshold.

threshold_l1

A dependency threshold, usually in the interval [0,1], filtering out self-loop dependencies below the threshold.

threshold_frequency

An absolute frequency threshold filtering dependencies which are observed infrequently.

all_connected

If TRUE the best antecedent and consequent (as determined by the dependency measure) are going to be added regardless of the threshold value.

endpoints_connected

If TRUE the start/end activity is added as antecedent/consequent when an activity would not be connected according to the threshold value.

References

A. Burattin and A. Sperduti, “Heuristics Miner for Time Intervals,” in ESANN 2010, 18th European Symposium on Artificial Neural Networks, Bruges, Belgium, April 28-30, 2010, Proceedings, 2010.

Examples

dependency_matrix(L_heur_1,
                  dependency_type = dependency_type_fhm(all_connected = TRUE))