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Challenge 13 - Detecting Fraud Contracts

Fraud detectionStatisticsOutlier detectionBox plotOutliers
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Aug 13, 2024 1:15 PM
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Challenge 13: Detecting Fraud Contracts

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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Created with KNIME Analytics Platform version 5.3.0
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    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.2.2

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    KNIME JavaScript ViewsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.2.1

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    KNIME Statistics NodesTrusted extension

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    KNIME TextprocessingTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.2.0

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    KNIME AG, Zurich, Switzerland

    Version 5.2.2

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