One-Step Dynamic Classifier Ensemble Model for Customer Value Segmentation with Missing Values
Joint Authors
Teng, Geer
He, Changzheng
Zhu, Bing
Liu, Dunhu
Xiao, Jin
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-18
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Scientific customer value segmentation (CVS) is the base of efficient customer relationship management, and customer credit scoring, fraud detection, and churn prediction all belong to CVS.
In real CVS, the customer data usually include lots of missing values, which may affect the performance of CVS model greatly.
This study proposes a one-step dynamic classifier ensemble model for missing values (ODCEM) model.
On the one hand, ODCEM integrates the preprocess of missing values and the classification modeling into one step; on the other hand, it utilizes multiple classifiers ensemble technology in constructing the classification models.
The empirical results in credit scoring dataset “German” from UCI and the real customer churn prediction dataset “China churn” show that the ODCEM outperforms four commonly used “two-step” models and the ensemble based model LMF and can provide better decision support for market managers.
American Psychological Association (APA)
Xiao, Jin& Zhu, Bing& Teng, Geer& He, Changzheng& Liu, Dunhu. 2014. One-Step Dynamic Classifier Ensemble Model for Customer Value Segmentation with Missing Values. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-15.
https://search.emarefa.net/detail/BIM-504857
Modern Language Association (MLA)
Xiao, Jin…[et al.]. One-Step Dynamic Classifier Ensemble Model for Customer Value Segmentation with Missing Values. Mathematical Problems in Engineering No. 2014 (2014), pp.1-15.
https://search.emarefa.net/detail/BIM-504857
American Medical Association (AMA)
Xiao, Jin& Zhu, Bing& Teng, Geer& He, Changzheng& Liu, Dunhu. One-Step Dynamic Classifier Ensemble Model for Customer Value Segmentation with Missing Values. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-15.
https://search.emarefa.net/detail/BIM-504857
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-504857