pm4py.algo.organizational_mining.roles.common package#
PM4Py – A Process Mining Library for Python
Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)
This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version.
This program 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 Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License along with this program. If not, see this software project’s root or visit <https://www.gnu.org/licenses/>.
Website: https://processintelligence.solutions Contact: info@processintelligence.solutions
Submodules#
pm4py.algo.organizational_mining.roles.common.algorithm module#
PM4Py – A Process Mining Library for Python
Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)
This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version.
This program 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 Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License along with this program. If not, see this software project’s root or visit <https://www.gnu.org/licenses/>.
Website: https://processintelligence.solutions Contact: info@processintelligence.solutions
- class pm4py.algo.organizational_mining.roles.common.algorithm.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#
Bases:
Enum- ROLES_THRESHOLD_PARAMETER = 'roles_threshold_parameter'#
- RESOURCE_KEY = 'pm4py:param:resource_key'#
- ACTIVITY_KEY = 'pm4py:param:activity_key'#
- pm4py.algo.organizational_mining.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_values
Sum of the dictionary values
- pm4py.algo.organizational_mining.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_role
Normalized multiset of originators
- pm4py.algo.organizational_mining.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
Intersection of the multiset
- pm4py.algo.organizational_mining.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
Union of the multiset
- pm4py.algo.organizational_mining.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
Similarity measure
- pm4py.algo.organizational_mining.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#
- agg_roles
(Partially aggregated) roles
- pm4py.algo.organizational_mining.roles.common.algorithm.aggregate_roles_algorithm(roles, parameters=None)[source]#
Algorithm to aggregate similar roles
Parameters#
- roles
Roles
- parameters
Parameters of the algorithm
Returns#
- agg_roles
(Aggregated) roles
- pm4py.algo.organizational_mining.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#
- roles
List of roles (set of activities + multiset of resources)
- pm4py.algo.organizational_mining.roles.common.algorithm.apply(res_act_couples, parameters=None) List[Role][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#
- roles
List of roles (set of activities + multiset of resources)