Customer Churn Prediction with Feature Embedded Convolutional Neural Network: An Empirical Study in the Internet Funds Industry

doi:10.1142/S1469026819500032

CORC > 上海财经大学 > 上海财经大学

	Customer Churn Prediction with Feature Embedded Convolutional Neural Network: An Empirical Study in the Internet Funds Industry
	Wang, Chongren 1; Han, Dongmei 1; Fan, Weiguo 2; Liu, Qigang 3
刊名	INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE AND APPLICATIONS
	2019-03
卷号	18 期号:1
关键词	Internet funds customer churn prediction convolutional neural networks deep learning machine learning
ISSN号	1469-0268
DOI	10.1142/S1469026819500032
英文摘要	In this paper, we investigated the customer churn prediction problem in the Internet funds industry. We designed a novel feature embedded convolutional neural networks (FE-CNN) method that can automatically learn features from both the dynamic customer behavioral data and static customer demographic data and can utilize the advantage of convolutional neural networks to automatically learn features that capture the structured information. Our results show that our FE-CNN model outperforms the other traditional machine learning models with hand-crafted features, such as logistic regression (LR), support vector machines (SVM), random forests (RF) and neural networks (NN) in terms of accuracy, area under the receiver operating characteristics curve (AUC) and top-decile lift. Furthermore, we found that after adding the demographic data feature to the basic CNN model, the performance of the FE-CNN model improved. Overall, we found that the FE-CNN is the most powerful way to solve the problem of customer churn prediction in the Internet funds industry. Our FE-CNN method can also be applied to other fields that have both dynamic data and static data.
WOS研究方向	Computer Science
语种	英语
出版者	WORLD SCIENTIFIC PUBL CO PTE LTD
WOS记录号	WOS:000467494600003
内容类型	期刊论文
源URL	[http://10.2.47.112/handle/2XS4QKH4/316]
专题	上海财经大学
通讯作者	Wang, Chongren
作者单位	1.Shanghai Univ Finance & Econ, Sch Informat Management & Engn, 777 Guoding Rd, Shanghai 200433, Peoples R China; 2.Univ Iowa, Tippie Coll Business, Dept Management Sci, 108 John Pappajohn Business Bldg, Iowa City, IA 52242 USA; 3.Shanghai Univ, SHU UTS SILC Business Sch, Shanghai 201899, Peoples R China
推荐引用方式 GB/T 7714	Wang, Chongren,Han, Dongmei,Fan, Weiguo,et al. Customer Churn Prediction with Feature Embedded Convolutional Neural Network: An Empirical Study in the Internet Funds Industry[J]. INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE AND APPLICATIONS,2019,18(1).
APA	Wang, Chongren,Han, Dongmei,Fan, Weiguo,&Liu, Qigang.(2019).Customer Churn Prediction with Feature Embedded Convolutional Neural Network: An Empirical Study in the Internet Funds Industry.INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE AND APPLICATIONS,18(1).
MLA	Wang, Chongren,et al."Customer Churn Prediction with Feature Embedded Convolutional Neural Network: An Empirical Study in the Internet Funds Industry".INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE AND APPLICATIONS 18.1(2019).