Data mining predicts Indian bank customer churn, maximizing profits and loyalty.
Data mining is used by banks in India to predict customer churn behavior. By analyzing data, they can identify customers who are likely to leave and take steps to keep them. This helps banks maximize profits and build loyalty. The study used algorithms like Naive Bayes, J48, and SMO to analyze the data and make predictions.