Overview:Python dominates job markets in emerging sectors like AI, data science, and cybersecurity.Ruby remains strong in web development, especially for platfo ...

Abstract: Auto insurance claim fraud has become increasingly prevalent in recent years posing a significant challenge for the auto insurance industry. To address this issue there is a growing need for ...

Financial fraud has become both more sophisticated and harder to isolate, hiding within massive streams of legitimate activity. Conventional machine learning models, long relied upon by banks and ...

End-to-end Credit Card Fraud Detection project using Python, Scikit-learn, and Streamlit — includes data ingestion, feature engineering, model training, scoring, monitoring, and an interactive ...

The Insurance Council of Australia (ICA) has revealed a new partnership with Shift Technology and EXL to create a national platform for detecting and investigating insurance fraud. This initiative, ...

fraud-detection-project/ ├── README.md ├── requirements.txt ├── config.yaml ├── Makefile ├── data/ │ ├── raw/ # input CSV (synthetic credit card transactions) │ └── processed/ # feature-ready datasets ...

At this year’s Credit Scoring and Credit Control Conference in Edinburgh, colleagues Ben Archer and Peter Szocs presented on a topic gaining significant attention: how federated learning can support ...

Medical insurance funds face growing threats from sophisticated organized fraud schemes, with drug resale networks exploiting systemic vulnerabilities. A new study published in Electronics addresses ...