Journal of Computer and Communications

Journal of Computer and Communications

ISSN Print: 2327-5219
ISSN Online: 2327-5227
www.scirp.org/journal/jcc
E-mail: jcc@scirp.org
"Research Model of Churn Prediction Based on Customer Segmentation and Misclassification Cost in the Context of Big Data"
written by Yong Liu, Yongrui Zhuang,
published by Journal of Computer and Communications, Vol.3 No.6, 2015
has been cited by the following article(s):
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[2] Swarm intelligence goal-oriented approach to data-driven innovation in customer churn management
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[3] Customer Churn Prediction Models For PT. XYZ Insurance
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[9] Analisa Komparasi Algoritma Decision Tree C4. 5 dan Naïve Bayes untuk Prediksi Churn Berdasarkan Kelas Pelanggan Retail
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[10] Optimum Profit-Driven Churn Decision Making: Innovative Artificial Neural Networks in Telecom Industry
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[11] Applications of data mining techniques for churn prediction and cross-selling in the telecommunications industry
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[12] A Robust Model for Churn Prediction using Supervised Machine Learning
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[13] Modelling and Predicting User Engagement in Mobile Applications
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[14] Big Data Analytics Evaluation
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[15] Prediksi Customer Churn dengan Algoritma Decision Tree C4. 5 Berdasarkan Segmentasi Pelanggan untuk Mempertahankan Pelanggan pada Perusahaan Retail
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[16] Behavioral attributes and financial churn prediction
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[17] Exploring nested ensemble learners using overproduction and choose approach for churn prediction in telecom industry
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[18] Big data provenance and analytics in telecom contact centers
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[19] A review and analysis of churn prediction methods for customer retention in telecom industries
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[20] A Survey of Evolution in Predictive Models and Impacting Factors in Customer Churn
Advances in Data Science and Adaptive Analysis, 2017
[21] MCS: Multiple classifier system to predict the churners in the telecom industry
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[22] Exploration space of human-data interaction
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[23] Self-organizing and error driven (SOED) artificial neural network for smarter classifications
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[24] Mining Big Data in Telecommunications Industry: Challenges, Techniques, and Revenue Opportunity
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[25] HA: Mining big data in telecommunications industry: challenges, techniques, and revenue opportunity
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