Abstract: Class imbalance is a recurring problem in machine learning, especially in domains like SME's, healthcare, finance, and fraud detection, where rare but important events are often ...
Optimizing Financial Fraud Detection in ETL: A Data Mining Approach with Oversampling Considerations
Abstract: One of the first usage of data mining techniques was in the financial sector when senior management or some tax and insurance authorities wished to detect financial fraud. The present ...
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