Churn Forecast Based on Two-step Classification in Security Industry

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ISSN Print: 2160-5912
ISSN Online: 2160-5920
www.scirp.org/journal/iim
E-mail: iim@scirp.org

"Churn Forecast Based on Two-step Classification in Security Industry"
written by Ying Li, Ziyang Deng, Qiang Qian, Rui Xu,
published by Intelligent Information Management, Vol.3 No.4, 2011

has been cited by the following article(s):

[1]	Customer attrition analysis in the securities industry: a large-scale field study in Korea
	2019

[2]	Hybrydowe modele predykcyjne w marketingu relacji
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[3]	Predicting customer churn from valuable B2B customers in the logistics industry: a case study
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[4]	Number of Clusters and the Quality of Hybrid Predictive Models in Analytical CRM
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[5]	Impact of Cluster Validity Measures on Performance of Hybrid Models Based on K-means and Decision Trees
	M ?apczyński, B Jefmański - researchgate.net, 2013

[6]	Hybrid Predictive Models for Optimizing Marketing Banner Ad Campaign in On-line Social Network
	Proceedings of the 2012 International Conference on Data Mining, CSREA Press, Las Vegas Nevada, USA, 2012

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[1]	The number of clusters in hybrid predictive models: does it really matter? Przegląd Statystyczny, 2020 DOI:10.5604/01.3001.0013.9131

[2]	Customer attrition analysis in the securities industry: a large-scale field study in Korea International Journal of Bank Marketing, 2019 DOI:10.1108/IJBM-04-2019-0151