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JKISeason3-13_Detecting Fraudulent Contracts

JKISeason3-13
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Aug 9, 2024 9:23 PM
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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.

Author: Lada Rudnitckaia

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Used extensions & nodes

Created with KNIME Analytics Platform version 5.3.0
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    KNIME Base nodesTrusted 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 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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    KNIME Web Interaction (Labs)Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.3.0

    knime

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