pm4py.algo.discovery.ocel.ocdfg.variants package#

PM4Py – A Process Mining Library for Python

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Website: https://processintelligence.solutions Contact: info@processintelligence.solutions

Submodules#

pm4py.algo.discovery.ocel.ocdfg.variants.classic module#

PM4Py – A Process Mining Library for Python

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.discovery.ocel.ocdfg.variants.classic.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#

Bases: Enum

EVENT_ACTIVITY = 'param:event:activity'#

OBJECT_TYPE = 'param:object:type'#

COMPUTE_EDGES_PERFORMANCE = 'compute_edges_performance'#

pm4py.algo.discovery.ocel.ocdfg.variants.classic.apply(ocel: OCEL, parameters: Dict[Any, Any] | None = None) → Dict[str, Any][source]#

Discovers an OC-DFG model from an object-centric event log. Reference paper: Berti, Alessandro, and Wil van der Aalst. “Extracting multiple viewpoint models from relational databases.” Data-Driven Process Discovery and Analysis. Springer, Cham, 2018. 24-51.

Parameters#

ocel: Object-centric event log
parameters: Parameters of the algorithm, including: - Parameters.EVENT_ACTIVITY => the attribute to be used as activity - Parameters.OBJECT_TYPE => the attribute to be used as object type - Parameters.COMPUTE_EDGES_PERFORMANCE => (boolean) enables/disables the computation of the performance on the edges

Returns#

ocdfg: Object-centric directly-follows graph, expressed as a dictionary containing the following properties: - activities: complete set of activities derived from the object-centric event log - object_types: complete set of object types derived from the object-centric event log - edges: dictionary connecting each object type to a set of directly-followed arcs between activities - activities_indep: dictionary linking each activity, regardless of the object type - activities_ot: dictionary linking each object type to another dictionary - start_activities: dictionary linking each object type to start activities - end_activities: dictionary linking each object type to end activities