A study on the application of decision tree algorithm in mobile marketing

Abstract

The decision tree algorithm is an inductive learning algorithm based on examples. It infers a classification rule represented by a tree structure through the learning of the training set. Mobile telecom operators have accumulated a large amount of user information in their long-term operations. Using decision tree algorithms to perform data mining on user information can accurately analyze user needs and user satisfaction with services. Based on the research of decision tree algorithm, this paper conducts analysis and mining based on mobile user data in order to improve the level of mobile marketing services and implement customer refined management strategies.