Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

A New Churn Prediction Model Based on Deep Insight Features Transformation for Convolution Neural Network Architecture and Stacknet

7 references·3 citing·41 second hop

FromToDepth

this work references cited by second hop

References

2018Customer churn prediction in telecommunication industry using data certainty251 cited
2012Applications of Data Mining Techniques in Telecom Churn Prediction55 cited
2017Comparison of Deep Learning Algorithms to Predict Customer Churn within a Local Retail Industry51 cited
2012Customer churn prediction for telecommunication: Employing various various features selection techniques and tree based ensemble classifiers35 cited
2016Churn analysis using deep convolutional neural networks and autoencoders29 cited
2019Churn Prediction with Sequential Data and Deep Neural Networks. A Comparative Analysis24 cited
2014A Comparative Assessment of the Performance of Ensemble Learning in Customer Churn Prediction21 cited

Cited by

2024Factors, Predictability, and Explainability of Mobile Telephony Customer Departure in Telecommunications Companies: A Systematic Review of the Literature9 cited
2024Enhancing game customer churn prediction with a stacked ensemble learning model8 cited
2023A Review on Machine Learning-Based Customer Churn Prediction in the Telecom Industry7 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work