Author(s)

Huimin Chen

Corresponding Author

Huimin Chen

Abstract

In recent years, the achievements of the mobile marketing market are much lower than expected. Mobile telecom operators must pay attention to efficiency and cost, and at the same time, improve the quality of service, innovate the direction of communication products, and give users brand-new excellent services and pleasant experience environment. This paper tries to study the application of mobile marketing market through decision tree. Data mining decision tree algorithm constructs a decision tree by training historical data, and the process of constructing the tree does not need parameter setting and knowledge in related fields. The algorithm can deal with high-dimensional data, and the results obtained are presented in the form of intuitive knowledge tree, which is easy to understand. In this paper, the data are summarized, sampled, and the training set is balanced to explore the data. The result is not obviously different from that of directly exploring the whole data set, but it can greatly reduce the time consumed.

Keywords

Decision tree; Mobile marketing; Application