Using data mining to detect fraudulent credit card transactions
Data mining is when historical data is analyzed to identify patterns and trends to make business decisions and predict outcomes. So if a company had a large amount of historical credit card transaction data, they could identify the characteristics of charges that ultimately were fraudulent.
The company could then use the characteristics identified to create algorithms to identify these characteristics in new credit card transactions and flag them as potentially fraudulent!
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