dependency_type_lifecycle: Dependency type based on time intervals

Description Usage Arguments Value References Examples

Description

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

Usage

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

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.

Value

A dependency type.

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

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

heuristicsmineR documentation built on May 15, 2019, 1:06 a.m.