Prediction and Big Data Impact Analysis of Telecom Churn by Backpropagation Neural Network Algorithm from the Perspective of Business Model

An early warning model for customer churn prediction in telecommunication sector based on improved bat algorithm to optimize ELM

(2021) Meixuan Li et al.   INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS

Giant fight: Customer churn prediction in traditional broadcast industry

(2021) Yixin Li et al.   JOURNAL OF BUSINESS RESEARCH

Application of the best evacuation model of deep learning in the design of public structures

(2020) Yan Chen et al.   IMAGE AND VISION COMPUTING

SE-stacking: Improving user purchase behavior prediction by information fusion and ensemble learning

(2020) Jing Xu et al.   PLoS One

Parameter Optimization Based BPNN of Atmosphere Continuous-Variable Quantum Key Distribution

(2019) Yu Su et al.   Entropy

Significance-Based Feature Extraction for Customer Churn Prediction Data in the Telecom Sector

(2019) Kamya Eria et al.   Journal of Computational and Theoretical Nanoscience

Towards successful business process improvement – An extension of change acceleration process model

(2019) Maha Syed Ibrahim et al.   PLoS One

Why you should stop predicting customer churn and start using uplift models

(2019) Floris Devriendt et al.   INFORMATION SCIENCES

Hybrid PPFCM-ANN model: an efficient system for customer churn prediction through probabilistic possibilistic fuzzy clustering and artificial neural network

(2018) E. Sivasankar et al.   NEURAL COMPUTING & APPLICATIONS

Generative adversarial network based telecom fraud detection at the receiving bank

(2018) Yu-Jun Zheng et al.   NEURAL NETWORKS

Profit maximizing logistic model for customer churn prediction using genetic algorithms

(2018) Eugen Stripling et al.   Swarm and Evolutionary Computation

An empirical comparison of techniques for the class imbalance problem in churn prediction

(2017) Bing Zhu et al.   INFORMATION SCIENCES

Customer churn prediction in the telecommunication sector using a rough set approach

(2017) Adnan Amin et al.   NEUROCOMPUTING