Data Analytics for Bank Term Deposit by Combining Artificial Immune Network and Collaborative Filtering

To predict the preference of customer is essential to every financial service company, and by developing a high-efficient classification model can make a company to increase their profit and reduce the cost. In marketing, the uses of big data include \"recommendation engines\" to make suggestions based on the prior interests of a customer as compared to others. Thus, the main idea of this research presents an artificial immune classification combining collaborative filtering approach for bank term deposit recommendation. Artificial Immune Network (AIN) is a network of customers with bank term deposit and it can be adopted as a group decision making model in predicting whether a new customer will have a term deposit or not. A series of experiments are conducted, and the results are very encouraging. In spite of the class imbalance problem in the test dataset, our proposed model outperformed other models with highest accuracy.