Description

Nowadays, big data contains infinite business opportunities. Companies begin to analyze their data to predict their potential customers and business decisions using Naïve Bayes Classifier, Association Rule Mining, Decision Tree and other famous algorithms. An accurate classification result may help companies leading in its industry. Companies seek to find feasible business intelligences to obtain reliable prediction results. In this paper we propose an association rule mining to improve Naïve Bayes Classifier.