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Random Classify Log

Dummy version 1.0.0.v202003051301 by PADS RWTH Aachen

This node classifies each trace variant from the event log according to the given label and its distribution. Trace variant is a set of traces which have the same event classes sequence. The following inputs are required: a given label, a list of possible values and their corresponding distributions. The sum of distributions are 1.0. Otherwise, it gives one configuration exception.
For example, to classify one event log by attribute "kpi" with the following distribution, {"pos", 0.5} and {"neg", 0.5}. The configuration steps are :

  1. Given the Label Name "kpi" at the top of the table;
  2. Click the button "Add label value" to add value for this label and its percent.
  3. Input value "pos" to Label values and 0.5 to Label value percentages.
  4. Input value "neg" to Label values and 0.5 to Label value percentages.
After execution, given 10 traces for 2 trace variants in the event log, then for each trace variant, 5 traces are assigned with "pos" for label "kpi", 5 traces are assigned as "neg". If the sum doesn't match the total trace number, the one with the highest percent will be assigned to the difference value.

Options

Label Name
The category name for classification
Label Values
The possible label value.
Label Value Percentage
The percentage of corresponding label value for one trace variant. The value is between 0 - 1.0. The sum of the all percentage values should be 1.

Input Ports

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Event Log to classify by randomly

Output Ports

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Event log with labels after classification

Best Friends (Outgoing)

  • IncorporateNegInfo (100 %) 

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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