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Analysis on Forecasting the Consumption of Telecom Customers -Study Based on the Kunming Data

机译:电信客户消费预测分析-基于昆明数据的研究

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摘要

In this paper we extract 18, 950 cost standard customers from the original data of 29, 999 telecom customers from Kunming city and various counties, and make the time series model and logistic regression model, hoping to judge the customers' online situation and test the accuracy of the models respectively through the amount of consumption of the customers from the previous months. The purpose of this paper is to provide early warnings for telecom companies against "freak" customers whose charges and quantity of phone calls drop dramatically, so as to take relevant measures to let them stay on the line effectively.
机译:本文从昆明市及各县29,999家电信客户的原始数据中提取18,950名成本标准客户,并建立时间序列模型和Logistic回归模型,以期判断客户的在线情况并进行测试。通过前几个月客户的消费量分别得出模型的准确性。本文的目的是为电信公司提供针对那些“畸形”客户的预警,这些客户的电话费和电话量急剧下降,从而采取相关措施使他们有效地保持在线。

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