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Synthetic Data Generator (Numeric)

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Versionv1.0Latest, created on 
Oct 20, 2023 1:29 PM
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This component generates synthetic values into a numeric column by sampling from a selected distribution (Uniform/Gaussian/Gamma) where the distribution parameters have been defined from the original column. It’s also possible to generate synthetic data from separate distributions for different subsets (dependency groups) of the data as defined based on one or more dependency columns. The synthetic value of each row in the original data can be recognized by the row ID. In addition, it is possible to exclude dependency groups with too few examples from the data generation, and add random noise to the synthetic data. Synthetic data generation is used, for example, when the original data is confidential (anonymization) or difficult or expensive to collect.

Component details

Input ports
  1. Type: Table
    Original Data
    The original numeric column and possibly dependency columns
Output ports
  1. Type: Table
    Synthetic Data
    The synthetic numeric column together with the original row IDs
  2. Type: Table
    Statistics Table
    The distribution parameters of the original numeric column, possibly separately for the different dependency groups
  3. Type: Table
    Input Data Dependency Group Mapping
    The dependency group ID of each row ID in the original data

Used extensions & nodes

Created with KNIME Analytics Platform version 4.4.2
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    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.2

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    knime
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    KNIME Data GenerationTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

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    knime
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    KNIME JavasnippetTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.2

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    knime
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    KNIME Math Expression (JEP)Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

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    knime
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    KNIME Quick FormsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.2

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    knime

This component does not have nodes, extensions, nested components and related workflows

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By using or downloading the component, you agree to our terms and conditions.

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