CostBP Algorithm and its Application in Customer Churn Prediction

Author

Dong, Yan-Jie ; Wang, Xue-Hua ; Zhou, Jun

Author_Institution

Sch. of Manage., Dalian Univ. of Technol., Dalian, China

fYear

2009

fDate

25-27 Aug. 2009

Firstpage

794

Lastpage

797

Abstract

For data sets of customer churn are imbalanced, it´s hard for classical BP neural network to make good classification. This paper proposes an improved BP algorithm, namely CostBP. CostBP modifies the error function into cost-based error function, based on which error propagation is conducted. The experimental results showed that CostBP can minimize total misclassification cost and was effective in prediction of minority class.

Keywords

backpropagation; customer relationship management; BP neural network; CostBP algorithm; cost-based error function; customer churn prediction; Boosting; Classification algorithms; Conference management; Costs; Customer relationship management; Neural networks; Predictive models; Support vector machine classification; Support vector machines; Technology management; CostBP; churn prediction; imbalanced data sets;

fLanguage

English

Publisher

ieee

Conference_Titel

INC, IMS and IDC, 2009. NCM '09. Fifth International Joint Conference on

Conference_Location

Seoul

Print_ISBN

978-1-4244-5209-5

Electronic_ISBN

978-0-7695-3769-6

Type

conf

DOI

10.1109/NCM.2009.222

Filename

5331658

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2364551