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JKISeason3-13_sryu

JKISeason3-13_sryuJKISeason3-13
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VersionV1.0.1Latest, created on 
Nov 9, 2024 10:48 AM
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Detecting Fraudulent Contracts
Challenge 13

Level: Easy to Medium

Description: You work in the contracts department of a software company and are asked to detect fraudulent (or wrong) contracts based on their contract value. Given the PDF versions of the contracts, you need to extract their contract value (and, optionally, any other fields you find useful) and detect outliers among them. You can either use simpler outlier detection techniques, such as those based on statistics or visualization, or more advanced ones based on machine learning.
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Used extensions & nodes

Created with KNIME Analytics Platform version 5.3.3 Note: Not all extensions may be displayed.
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    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.3.0

    knime
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    KNIME H2O Machine Learning IntegrationTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.3.0

    knime
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    KNIME JavaScript ViewsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.3.0

    knime
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    KNIME JavasnippetTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.3.0

    knime
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    KNIME Math Expression (JEP)Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.3.0

    knime
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    KNIME Python IntegrationTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.3.0

    knime
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    KNIME Quick FormsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.3.0

    knime
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    KNIME Statistics NodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.3.0

    knime
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    KNIME TextprocessingTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.3.0

    knime
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    KNIME ViewsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.3.0

    knime

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