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Process-aware criteria

Source: R/crit_process.R
crit_process.Rd

Convenience constructors that build a criterion() from a trace measure, with sensible, overridable quantile-threshold defaults. The similarity measures (crit_activity_profile(), crit_transitions()) point in the "similarity" direction; the distance measures point in the "dissimilarity" direction.

Usage

crit_activity_profile(
  weight = 1,
  indifference = as_quantile(0.5),
  similarity = as_quantile(0.8),
  veto = NULL,
  name = "activity_profile"
)

crit_transitions(
  weight = 1,
  indifference = as_quantile(0.5),
  similarity = as_quantile(0.8),
  veto = NULL,
  name = "transitions"
)

crit_edit_distance(
  weight = 1,
  method = "osa",
  indifference = as_quantile(0.5),
  similarity = as_quantile(0.2),
  veto = NULL,
  name = "edit_distance"
)

crit_trace_length(
  weight = 1,
  indifference = as_quantile(0.5),
  similarity = as_quantile(0.2),
  veto = NULL,
  name = "trace_length"
)

crit_distinct_activities(
  weight = 1,
  indifference = as_quantile(0.5),
  similarity = as_quantile(0.2),
  veto = NULL,
  name = "distinct_activities"
)

crit_duration(
  weight = 1,
  units = "mins",
  indifference = as_quantile(0.5),
  similarity = as_quantile(0.2),
  veto = NULL,
  name = "duration"
)

Arguments

weight

A single positive weight (normalised later, when the similarity matrix is built).

indifference, similarity, veto

Thresholds, each a number or an as_quantile() quantile specification. The defaults differ by direction and are documented in the argument defaults.

name

Criterion label.

method

Edit-distance method passed to stringdist::seq_distmatrix().

units

Time unit for durations, passed to base::difftime().

Value

A criterion() object.

Details

  • crit_activity_profile() – cosine similarity of activity count vectors.

  • crit_transitions() – cosine similarity of distance-weighted transition profiles (weight 1 / gap), as in the foundations paper.

  • crit_edit_distance() – OSA edit distance on the integer-encoded traces.

  • crit_trace_length() – |n_a - n_b|, the difference in event counts.

  • crit_distinct_activities() – difference in the number of distinct activities.

  • crit_duration() – difference in case duration.

See also

crit_nominal(), crit_ordinal(), crit_numeric(), crit_custom() for attribute-based criteria.

Examples

crit_activity_profile(weight = 0.2)
#> <criterion 'activity_profile'>: direction = similarity, weight = 0.2
#>   indifference = as_quantile(0.5), similarity = as_quantile(0.8), veto = none
crit_edit_distance(weight = 0.2, similarity = 2, indifference = 3, veto = 6)
#> <criterion 'edit_distance'>: direction = dissimilarity, weight = 0.2
#>   indifference = 3, similarity = 2, veto = 6