移动互联网用户终端换机预测的研究与实.

In order to solve the low efficiency and practical application of predicting the potential phone replacement user, this paper designed and built a phone replacement prediction system based on big data platform. This system firstly captured signaling data from multiple network interface and collected external data. Through the parse platform, the data from network interface would be distributed, decoded, synthesized and correlated, and the external data would be processed by ETL tools, and then storing processed data into IIDFS. Further, this paper established a phone replacement prediction model, which based on logistic regression, using spark components in the big data platform and output the potential phone replacement users. Finally, this paper chose part of the western city ’ s user data for system testing. The result shows that the prediction accuracy of the phone replacement prediction system is up to 71%. It can preferably recognize potential phone replacement users, and provide reliable support for the precise marketing of operators and mobile phone manufacturers. [ABSTRACT FROM AUTHOR]