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Modelling highly imbalanced credit card fraud detection data using statistical learning
Credit card fraud is a major concern for businesses worldwide, yielding losses of up to $67 billion per year in major banks and institutions. Machine learning techniques used to detect fraudulent transactions face several challenges when dealing with highly imbalanced data, which is often the case w...
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| Format: | Thesis |
| Language: | English |
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Department of Statistical Sciences
2024
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