Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

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

Incorporating textual information in customer churn prediction models based on a convolutional neural network

16 references·16 citing·46 second hopsampled

FromToDepth

this work references cited by second hop· second hop is a sample of the most-cited connections

References

2014Beyond the hype: Big data concepts, methods, and analytics4,222 cited
2013Big Data : The Management Revolution3,540 cited
2012Big data: the management revolution.2,326 cited
1999Data preparation for data mining1,363 cited
2000Understanding the Customer Base of Service Providers: An Examination of the Differences between Switchers and Stayers1,305 cited
2017A survey on deep learning for big data1,226 cited
2013Social media competitive analysis and text mining: A case study in the pizza industry899 cited
2002The mismanagement of customer loyalty.769 cited
2004Building and sustaining profitable customer loyalty for the 21st century760 cited
2016Consumer adoption versus rejection decisions in seemingly similar service innovations: The case of the Internet and mobile banking692 cited
1998Data mining for direct marketing: problems and solutions658 cited
2006Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models574 cited
2008Handling class imbalance in customer churn prediction552 cited
2018A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees529 cited
2011

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

New insights into churn prediction in the telecommunication sector: A profit driven data mining approach

460 cited

2006Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques432 cited

Cited by

2024A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners151 cited
2022Customer Churn in Retail E-Commerce Business: Spatial and Machine Learning Approach139 cited
2024Prediction of Customer Churn Behavior in the Telecommunication Industry Using Machine Learning Models94 cited
2023Deep Churn Prediction Method for Telecommunication Industry91 cited
2023Investigating customer churn in banking: a machine learning approach and visualization app for data science and management84 cited
2022Extending business failure prediction models with textual website content using deep learning80 cited
2023Extreme gradient boosting trees with efficient Bayesian optimization for profit-driven customer churn prediction79 cited
2022A survey on machine learning methods for churn prediction76 cited
2024Profit-driven weighted classifier with interpretable ability for customer churn prediction66 cited
2023Machine learning based customer churn prediction in home appliance rental business59 cited
2023Exploiting time-varying RFM measures for customer churn prediction with deep neural networks58 cited
2022Effective Implementation of Predictive Sales Analytics58 cited
2021Spline-rule ensemble classifiers with structured sparsity regularization for interpretable customer churn modeling51 cited
2022Customer Churn Prediction in Influencer Commerce: An Application of Decision Trees51 cited
2022Artificial Intelligence Based Customer Churn Prediction Model for Business Markets51 cited
2023Modelling bank customer behaviour using feature engineering and classification techniques48 cited