Webinar: Approaches to Fraud Detection: Autoencoder, Isolation Forest and More - February 22, 2023

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Hi Everyone, we had some questions from the webinar, so I’ll put relevant links here:

  1. Dealing with imbalanced data: Sampling Strategies Comparison – KNIME Community Hub

  2. Rule Engine for multiple sources/rules and column expression: Possibility to combine multiple Rule engine nodes (like Math multi-column function)

  3. Cybersecurity Fraud: Cyber security – KNIME Community Hub

  4. Healthcare Fraud: (I’m linking PDF analysis for fraud here as most of healthcare deals with scraping pdfs for information) Outlier Dection / Fraud Detection in Contracts – KNIME Community Hub

  5. Time Series Sampling: Time Series Analysis with Components | KNIME
    https://www.amazon.com/Codeless-Time-Analysis-KNIME-implementing/dp/1803232064

  6. KNIME Model Object: PMML Integration in KNIME | KNIME

  7. SMOTE: [1106.1813] SMOTE: Synthetic Minority Over-sampling Technique

  8. Getting conda for free to use in KNIME: Anaconda | Anaconda Distribution

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