A PCA-AdaBoost model for E-commerce customer churn prediction

Annals of Operations Research ◽

10.1007/s10479-022-04526-5 ◽

2022 ◽

Author(s):

Zengyuan Wu ◽

Lizheng Jing ◽

Bei Wu ◽

Lingmin Jin

Keyword(s):

Churn Prediction ◽

Customer Churn ◽

Customer Churn Prediction

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An Effective Customer Churn Prediction Model using Adaptive Gain with Back Propagation Neural Network in Cloud Computing Environment

Journal of Research on the Lepidoptera ◽

10.36872/lepi/v51i1/301034 ◽

2020 ◽

Vol 51 (1) ◽

pp. 386-399

Author(s):

JEYAKARTHIC M

Keyword(s):

Neural Network ◽

Cloud Computing ◽

Prediction Model ◽

Back Propagation ◽

Back Propagation Neural Network ◽

Churn Prediction ◽

Computing Environment ◽

Cloud Computing Environment ◽

Customer Churn ◽

Customer Churn Prediction

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A SURVEY OF EMPLOYEE AND CUSTOMER CHURN PREDICTION METHODOLOGIES

Advances in Mathematics: Scientific Journal ◽

10.37418/amsj.9.6.76 ◽

2020 ◽

Vol 9 (6) ◽

pp. 3955-3962

Author(s):

S. Madane ◽

D. Chitre

Keyword(s):

Churn Prediction ◽

Customer Churn ◽

Customer Churn Prediction

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Customer Churn Prediction Embedded in an Analytical CRM Model

SSRN Electronic Journal ◽

10.2139/ssrn.3281605 ◽

2015 ◽

Author(s):

Ede Lázár

Keyword(s):

Churn Prediction ◽

Customer Churn ◽

Customer Churn Prediction

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Data Mining Techniques in Customer Churn Prediction

Recent Patents on Computer Science ◽

10.2174/1874479611003010028 ◽

2010 ◽

Vol 3 (1) ◽

pp. 28-32 ◽

Author(s):

Chih-Fong Tsai ◽

Yu-Hsin Lu

Keyword(s):

Data Mining ◽

Churn Prediction ◽

Data Mining Techniques ◽

Customer Churn ◽

Customer Churn Prediction

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Handling Class Imbalance in Customer Churn Prediction in Telecom Sector Using Sampling Techniques, Bagging and Boosting Trees

2020 10th International Conference on Computer and Knowledge Engineering (ICCKE) ◽

10.1109/iccke50421.2020.9303698 ◽

2020 ◽

Author(s):

Sajjad Shumaly ◽

Pedram Neysaryan ◽

Yanhui Guo

Keyword(s):

Class Imbalance ◽

Sampling Techniques ◽

Churn Prediction ◽

Customer Churn ◽

Customer Churn Prediction ◽

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A comparison of machine learning techniques for customer churn prediction

Simulation Modelling Practice and Theory ◽

10.1016/j.simpat.2015.03.003 ◽

2015 ◽

Vol 55 ◽

pp. 1-9 ◽

Author(s):

T. Vafeiadis ◽

K.I. Diamantaras ◽

G. Sarigiannidis ◽

K.Ch. Chatzisavvas

Keyword(s):

Machine Learning ◽

Machine Learning Techniques ◽

Churn Prediction ◽

Customer Churn ◽

Learning Techniques ◽

Customer Churn Prediction

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Customer Churn Prediction in Telecom Sector with Machine Learning and Information Gain Filter Feature Selection Algorithms

10.1109/icdabi53623.2021.9655792 ◽

2021 ◽

Author(s):

Yakub K. Saheed ◽

Moshood A. Hambali

Keyword(s):

Machine Learning ◽

Feature Selection ◽

Information Gain ◽

Churn Prediction ◽

Customer Churn ◽

Customer Churn Prediction ◽

Telecom Sector ◽

Selection Algorithms

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Customer Churn Prediction using App Log Data of a Coalition Loyalty Program

The Journal of Korean Institute of Information Technology ◽

10.14801/jkiit.2021.19.8.107 ◽

2021 ◽

Vol 19 (8) ◽

pp. 107-118

Author(s):

Oh-Hyun Kwon ◽

Dong-Hyun Park ◽

Shin Cho

Keyword(s):

Churn Prediction ◽

Loyalty Program ◽

Log Data ◽

Customer Churn ◽

Customer Churn Prediction

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Dynamic User Modeling in the Context of Customer Churn Prediction in Loyalty Program Marketing

Advances in Intelligent Systems and Computing - Proceedings of the Future Technologies Conference (FTC) 2019 ◽

10.1007/978-3-030-32523-7_41 ◽

2019 ◽

pp. 582-588

Author(s):

Ishani Chakraborty

Keyword(s):

User Modeling ◽

Churn Prediction ◽

Loyalty Program ◽

Customer Churn ◽

Customer Churn Prediction

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Machine Learning for Customer Churn Prediction in Retail Banking

Computational Science and Its Applications – ICCSA 2020 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-58808-3_42 ◽

2020 ◽

pp. 576-589

Author(s):

Joana Dias ◽

Pedro Godinho ◽

Pedro Torres

Keyword(s):

Machine Learning ◽

Retail Banking ◽

Churn Prediction ◽

Customer Churn ◽

Customer Churn Prediction

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