Consumers’ credit cards are declined surprisingly often in legitimate transactions. One cause is that fraud-detecting technologies used by a consumer’s bank have incorrectly flagged the sale as suspicious. Now researchers have employed a new machine-learning technique to drastically reduce these false positives, saving banks money and easing customer frustration.
