pm4py.algo.enhancement.roles.common package

Submodules

pm4py.algo.enhancement.roles.common.algorithm module

This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).

PM4Py is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

PM4Py is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with PM4Py. If not, see <https://www.gnu.org/licenses/>.

class pm4py.algo.enhancement.roles.common.algorithm.Parameters[source]

Bases: enum.Enum

An enumeration.

ACTIVITY_KEY = 'pm4py:param:activity_key'
RESOURCE_KEY = 'pm4py:param:resource_key'
ROLES_THRESHOLD_PARAMETER = 'roles_threshold_parameter'
pm4py.algo.enhancement.roles.common.algorithm.aggregate_roles_algorithm(roles, parameters=None)[source]

Algorithm to aggregate similar roles

Parameters:
  • roles – Roles
  • parameters – Parameters of the algorithm
Returns:

(Aggregated) roles
Return type:

agg_roles
pm4py.algo.enhancement.roles.common.algorithm.aggregate_roles_iteration(roles, parameters=None)[source]

Single iteration of the roles aggregation algorithm

Parameters:
  • roles – Roles
  • parameters – Parameters of the algorithm
Returns:

(Partially aggregated) roles
Return type:

agg_roles
pm4py.algo.enhancement.roles.common.algorithm.apply(res_act_couples, parameters=None)[source]

Apply the roles detection, introduced by Burattin, Andrea, Alessandro Sperduti, and Marco Veluscek. “Business models enhancement through discovery of roles.” 2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM). IEEE, 2013.

Parameters:
  • res_act_couples – (resource, activity) couples along with the number of occurrences
  • parameters – Parameters of the algorithm
Returns:

List of roles (set of activities + multiset of resources)
Return type:

roles
pm4py.algo.enhancement.roles.common.algorithm.find_multiset_intersection(role1, role2, normalize=False, parameters=None)[source]

Finds the intersection of a multiset

Parameters:
  • role1 – First role originators
  • role2 – Second role originators
  • normalize – Do the normalization of the roles
  • parameters – Parameters of the algorithm
Returns:

Intersection of the multiset
Return type:

intersection
pm4py.algo.enhancement.roles.common.algorithm.find_multiset_union(role1, role2, normalize=False, parameters=None)[source]

Finds the union of a multiset

Parameters:
  • role1 – First role originators
  • role2 – Second role originators
  • normalize – Do the normalization of the roles
  • parameters – Parameters of the algorithm
Returns:

Union of the multiset
Return type:

union
pm4py.algo.enhancement.roles.common.algorithm.find_role_similarity(roles, i, j, parameters=None)[source]

Calculate a number of similarity between different roles

Parameters:
  • roles – List of roles
  • i – Index of the first role
  • j – Index of the second role
  • parameters – Parameters of the algorithm
Returns:

Similarity measure
Return type:

similarity
pm4py.algo.enhancement.roles.common.algorithm.get_initial_roles(res_act_couples, parameters=None)[source]

Get the initial list of roles (each activity is a stand-alone role)

Parameters:
  • res_act_couples – (resource, activity) couples along with the number of occurrences
  • parameters – Parameters of the algorithm
Returns:

List of roles (set of activities + multiset of resources)
Return type:

roles
pm4py.algo.enhancement.roles.common.algorithm.get_sum_from_dictio_values(dictio, parameters=None)[source]

Get the sum of a dictionary values

Parameters:
  • dictio – Dictionary
  • parameters – Parameters of the algorithm
Returns:

Sum of the dictionary values
Return type:

sum_values
pm4py.algo.enhancement.roles.common.algorithm.normalize_role(role, parameters=None)[source]

Normalize a role

Parameters:
  • role – Originators of the role
  • parameters – Parameters of the algorithm
Returns:

Normalized multiset of originators
Return type:

normalized_role

Module contents

This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).

PM4Py is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

PM4Py is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with PM4Py. If not, see <https://www.gnu.org/licenses/>.