Browsing Faculty of Science & Technology (FST) by Subject "Fraud Detection, Federated Learning, Adjusted Random Forests, Feature Selection, Ensemble methods."

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    • A Federated Learning Model for the Detection of Insurance Claims Fraud 

      Katiechi, Stephen O (University of Nairobi, 2021)
      Practical insurance fraud detection solutions require sufficient quality data from insurers to build effective models. However, insurance data is generally proprietary information for specific insurance companies and thus ...