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Inductive Miner (DFG)

Inductive Miner (DFG) discovers a process model in process tree from input of a directly-follows model. Inductive Miner is the mining algorithm.

Options

Event classifer: The event classifier is chosen to classify the event log.
Miner Variant: The variant type of Inductive Miner is used to mine one process tree from one directly-follows graph.
Noise Threshold: Noise threshold is used to set the fitting trace percent with respect to the new model. 0.8 is as the default value.

Input Ports

: A directly-follows model as input

Output Ports

: The discovered process model in process tree.

Popular Predecessors

Popular Successors

Process Tree to Petri Net Converter100 %

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Developers

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Installation

To use this node in KNIME, install the extension Process Mining Extension from the below update site following our NodePit Product and Node Installation Guide:

v4.5

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

Plugin provider: Fraunhofer Institute for Applied Information Technology

Plugin version: 1.1.3.v202205060717

On NodePit since: 2021-12-06

Last update: 2024-12-22

KNIME versions: From v4.1 to v4.6

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