Promotion Assistance Tool for Mobile Phone Users
In this paper, we propose an application tool to help analyze the usage of a mobile phone for a typical user. From the past usage, the tool can analyze the promotion that is suitable for the user which may save the total expense. The application consists of both client and server side. On the server side, the information for each promotion package for a phone operator is stored as well as the usage database for each client. The client side is a user interface for both phone operators and users to enter their information. The analysis engine are based on KNN, ANN, decision tree and Naïve Bayes models. For comparison, it is shown that KNN and decision outperforms the others.
KeywordsMobile phone usage analysis Phone promotion package KNN ANN Decision tree Naïve Bayes
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