Uipath Inc.

Dennis Brons

Roeland Johannus Scheepens

Ruud Andriessen

Robin Johannes Pieter Mennens

Bulat Aydarovich Gafurov

Dirk Fahland

Systems and methods for object centric process mining are provided. Execution data of a process having a plurality of entities is received. A plurality of object networks representing relationships between objects of the plurality of entities are generated based on the execution data. A set of transitions is determined for each of the plurality of object networks. A process graph of execution of the process is generated based on the sets of transitions. The process graph is output.

Object centric process mining algorithm

A method is provided. The method is executed by a dependency identification engine implemented as a computer program within a computing environment. The method includes generating a data structure that represents a recorded process by the dependency identification engine from data. The method includes identifying activities of the data structure, determining connectivity between the activities, and determining, based on the connectivity, eligible activity pairs from the activates by the dependency identification engine. The method includes extending, based on the data, the data structure with annotations that represent long-term dependencies between the activities and generating a visualization of the data structure with the annotations by the dependency identification engine.

Extracting long-term dependencies within processes

Systems and methods for generating a process tree of a process are provided. An event log of the process is received. It is determined whether a base case applies to the event log and, in response to determining that the base case applies to the event log, one or more nodes are added to the process tree. In response to determining that the base case does not apply to the event log, the event log is split into sub-event logs and one or more nodes are added to the process tree. The steps of determining whether a base case applies and splitting the event log are repeatedly performed for each respective sub-event log using the respective sub-event log as the event log until it is determined that the base case applies to the event log. The process tree is output. The process may be a robotic process automation process.

Process tree discovery using a probabilistic inductive miner

Systems and methods for splitting an event log into sub-event logs are provided. The event log of a process is received. An activity relation score for a parallel relationship operator is calculated for each respective pair of activities of a plurality of pairs of activities in the event log based on 1) a frequency of occurrence of a first activity of the respective pair of activities between occurrences of a second activity of the respective pair of activities and 2) a frequency of occurrence of the second activity between occurrences of the first activity. A cut location in the event log is determined based on the activity relation scores. The event log is split into the sub-event logs based on the cut location.

Systems and methods for generating a process tree of a process are provided. An event log of the process is received. It is determined whether a base case applies to the event log and, in response to determining that the base case applies to the event log, one or more nodes are added to the process tree. In response to determining that the base case does not apply to the event log, the event log is split into sub-event logs based on a frequency of directly follows relations and a frequency of strictly indirectly follows relations for pairs of activities in the event log and one or more nodes are added to the process tree. The steps of determining whether a base case applies and splitting the event log are repeatedly performed for each respective sub-event log using the respective sub-event log as the event log until it is determined that the base case applies to the event log. The process tree is output. The process may be a robotic process automation process.

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Eindhoven, Netherlands

Dennis Brons