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JKI-S3_​challenge13

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.

create file path(data dir)convert path toknime urlextract outliersTika Parser Create File/FolderVariables Path to String(Variable) Numeric Outliers extract create file path(data dir)convert path toknime urlextract outliersTika Parser Create File/FolderVariables Path to String(Variable) Numeric Outliers extract

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Created by: 00178048
Created at: 2024-08-07
On NodePit since: 2024-08-09
Last update: 2024-09-16
Created with KNIME version: v5.3.0
Tags: JKISeason3-13

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