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DFM Miner

Dummy version 1.0.0.v202003051301 by PADS RWTH Aachen

This node is created to discover a directly-follows model. It accepts an event log as input and generates a directly-follows model as output. In this package without notification, directly-follows model is abbreviated as DFM. A DFM is composed of activities in rectangles, which are connected by arcs for directly-follows relation. The green rectangles represent the start activities, while the red ones are for the end activities.

Options

Event classifer
The classifier chosen to classify the event log. The event log classifiers from event log and event attributes can be used as classifier.
Variant
The variant type used to extract one directly-follows graph from event log. There are three options.

Input Ports

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An event log as input

Output Ports

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A directly-follows model as output.

Best Friends (Outgoing)

Workflows

Installation

To use this node in KNIME, install Process Mining Extension from the following update site:

KNIME 4.3

A zipped version of the software site can be downloaded here.

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Developers

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