id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-5958	Zhuo, Chen	Prediction of Telecom Customer Churn Based on MIPCA-XGBoost Method	2023	5	.pdf	application/pdf	3587	167	52	Abstract: In order to solve the problem that the nonlinear information of data in the field of telecom customer churn prediction is not fully used, or even ignored, which leads to inaccurate prediction, this paper introduces the mutual information feature selection method (MIPCA) to filter the features and reduce the dimensions of customer data, and proposes an XGBoost method based on the mutual information feature selection method(MIPCA-XGBoost), which improves the accuracy of the prediction results. Although the above research has made important contributions to the research on customer churn prediction in the fields of aviation, life insurance, e-commerce and so on, it does not mine the important features of the data set, resulting in information redundancy and even dimension disaster [5], which will have an impact on the customer churn prediction in the telecommunications industry and reduce its prediction efficiency and accuracy.	cache/fcis-5958.pdf	txt/fcis-5958.txt