Naïve Bayes Classification Approach for Mining Life Insurance Databases for Effective Prediction of Customer Preferences over Life Insurance Products

Prediction analysis is a definite need of any business sector for retaining and attracting the most valuable customers .It is considered as a major challenge facing companies in this information age. Data mining enables companies, in the context of defined business objectives, discover new knowledge, to explore, visualise and understand their data, and to identify patterns, relationships and dependencies that impact on business outcomes.The main focus of this paper concerned with Naive Bayesian classification algorithm for customer classification and prediction on Life Insurance dataset.