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Process mining is a family of techniques for analyzing event data to understand and improve operational processes. Part of the fields of data science and process management, process mining is generally built on logs that contain case id, a unique identifier for a particular process instance; an activity, a description of the event that is occurring; a timestamp; and sometimes other information ...
The α-algorithm or α-miner is an algorithm used in process mining, aimed at reconstructing causality from a set of sequences of events. It was first put forward by van der Aalst, Weijters and Măruşter. [1] The goal of Alpha miner is to convert the event log into a workflow-net based on the relations between various activities in the event log.
Process discovery is one of the three main types of process mining. The other two types of process mining are conformance checking and model extension/enhancement. [6] All of these techniques aim at extracting process related knowledge from event logs. In the case of process discovery, there is no prior process model; the model is discovered ...
In that case, there are additional fall throughs that can be applied to obtain better representation of process tree instead of a flower model. [3] [4] Inductive miner frequency-based: The less frequent relations in the event log sometimes creates problems in detecting any type of cuts. In that case, the directly follows relations below a ...
Process mining is a technique used to turn event data into insights and actions. Techniques used in process mining such as Process discovery and Conformance checking depend only on the order of activities executed in the operations. The event log not only contains the activity details, but also timestamps, resources and data accompanied with ...
The Task Force on Process Mining also publishes a newsletter, provides data sets, organizes workshops and competitions, and connects researchers and practitioners. In 2016, the IEEE Standards Association published the IEEE Standard for Extensible Event Stream (XES), which is a widely accepted file format by the process mining community. [16]
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