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
Dataset: Contract data in the KNIME Community Hub
URL: Datasets https://hub.knime.com/alinebessa/spaces/Just%20KNIME%20It!%20Season%203%20-%20Datasets/Challenge%2013%20-%20Dataset~PY1cXhvh92p6MY-E/
URL: JIKISeason3-13 https://www.knime.com/just-knime-it?pk_vid=f1a9625dd14a14c5171698895027e10b
URL: this challenge thread https://forum.knime.com/t/solutions-to-just-knime-it-challenge-13-season-3/81919
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