SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Customer Churn Prediction Model and Identifying Features to Increase Customer Retention based on User Generated Content
12 references·7 citing·41 second hop
Customer Churn Prediction Model and Identifying Features to Increase Customer Retention based on User Generated Content (2020)Customer Churn Prediction Model and Ident…Customer churn prediction in telecom using machine learning in big data platform (2019)Customer churn prediction in …A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector (2019)A Churn Prediction Model Usin…WebGIS for Disaster Management and Emergency Response (2018)WebGIS for Disaster Managemen…Predicting Customer Churn Prediction In Telecom Sector Using Various Machine Learning Techniques (2018)Predicting Customer Churn Pre…Customer churn prediction in telecommunication industry using data certainty (2018)Customer churn prediction in …Computing efficient features using rough set theory combined with ensemble classification techniques to improve the customer churn prediction in telecommunication sector (2018)Computing efficient features …Customer churn prediction in the telecommunication sector using a rough set approach (2016)Customer churn prediction in …A comparison of machine learning techniques for customer churn prediction (2015)A comparison of machine learn…Managing B2B customer churn, retention and profitability (2014)Managing B2B customer churn, …Telecommunication subscribers' churn prediction model using machine learning (2013)Telecommunication subscribers…Turning telecommunications call details to churn prediction: a data mining approach (2002)Turning telecommunications ca…Customer retention, loyalty, and satisfaction in the German mobile cellular telecommunications market (2001)Customer retention, loyalty, …Factors, Predictability, and Explainability of Mobile Telephony Customer Departure in Telecommunications Companies: A Systematic Review of the Literature (2024)Factors, Predictability, and …Enhancing churn forecasting with sentiment analysis of steam reviews (2024)Enhancing churn forecasting w…“Churn Prediction in Telecommunication Industry” (2023)“Churn Prediction in Telecomm…What social media sentiment tells us about why customers churn (2022)What social media sentiment t…Predicting Customer Churn on OTT Platforms (2022)Predicting Customer Churn on …An Ensemble Model for Predicting Retail Banking Churn in the Youth Segment of Customers (2022)An Ensemble Model for Predict…Prediction of Customer Churn in Telecom Industry: A Machine Learning Perspective (2021)Prediction of Customer Churn …Service management and marketing: managing the moments of truth in service competition (1990)Return on Marketing: Using Customer Equity to Focus Marketing Strategy (2003)Customer Value, Satisfaction, Loyalty, and Switching Costs: An Illustration From a Business-to-Business Service Context (2004)A review and analysis of churn prediction methods for customer retention in telecom industries (2017)Linking big data analytical intelligence to customer relationship management performance (2020)LISREL 7 : user's reference guide (1989)Customer Loyalty: Toward an Integrated Conceptual Framework (1994)Customer value: The next source for competitive advantage (1997)Customer satisfaction and retention: the experiences of individual employees (2004)Customer experience management: a critical review of an emerging idea (2010)The effects of relationship quality and switching barriers on customer loyalty (2010)Building Data Mining Applications for CRM (1999)Knowledge management and data mining for marketing (2001)New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management (2004)In Pursuit of Enhanced Customer Retention Management: Review, Key Issues, and Future Directions (2017)Customer churn prediction system: a machine learning approach (2021)Customer Switching Behavior in Service Industries: An Exploratory Study (1995)Investigating drivers of bank loyalty: the complex relationship between image, service quality and satisfaction (1998)Handling class imbalance in customer churn prediction (2008)Machine-Learning Techniques for Customer Retention: A Comparative Study (2018)Churn Prediction in Telecommunication using Logistic Regression and Logit Boost (2020)A Systematic Review of the Causes and Consequences of Price Hikes in Bangladesh (2023)Customer Satisfaction Cues To Support Market Segmentation and Explain Switching Behavior (2000)Understanding the Customer Base of Service Providers: An Examination of the Differences between Switchers and Stayers (2000)LightGBM: an Effective Decision Tree Gradient Boosting Method to Predict Customer Loyalty in the Finance Industry (2019)Integrated Churn Prediction and Customer Segmentation Framework for Telco Business (2021)A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners (2024)Customer churn prediction in telecommunications (2011)Hybrid Artificial Neural Networks Using Customer Churn Prediction (2021)Predicting customer churn: A systematic literature review (2022)Development of a Customer Churn Model for Banking Industry Based on Hard and Soft Data Fusion (2023)Zero defections: quality comes to services. (1990)Marketing management: analysis. planning. implementation and control (2000)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)Data Science in Economics: Comprehensive Review of Advanced Machine Learning and Deep Learning Methods (2020)Analysis of customer churn prediction in telecom industry using decision trees and logistic regression (2016)Comparison of supervised machine learning techniques for customer churn prediction based on analysis of customer behavior (2017)Machine learning based customer churn prediction in home appliance rental business (2023)Customer Churn Prediction in Telecom Sector Using Machine Learning Techniques (2022)
this work references cited by second hop

References

  • 2001Customer retention, loyalty, and satisfaction in the German mobile cellular telecommunications market732 cited
  • 2019Customer churn prediction in telecom using machine learning in big data platform486 cited
  • 2015A comparison of machine learning techniques for customer churn prediction470 cited
  • 2002Turning telecommunications call details to churn prediction: a data mining approach460 cited
  • 2019A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector394 cited
  • 2018Customer churn prediction in telecommunication industry using data certainty251 cited
  • 2016Customer churn prediction in the telecommunication sector using a rough set approach222 cited
  • 2013Telecommunication subscribers' churn prediction model using machine learning140 cited
  • 2014Managing B2B customer churn, retention and profitability122 cited
  • 2018Computing efficient features using rough set theory combined with ensemble classification techniques to improve the customer churn prediction in telecommunication sector46 cited
  • 2018Predicting Customer Churn Prediction In Telecom Sector Using Various Machine Learning Techniques35 cited
  • 2018WebGIS for Disaster Management and Emergency Response33 cited

Cited by

  • 2022An Ensemble Model for Predicting Retail Banking Churn in the Youth Segment of Customers

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

26 cited
  • 2022What social media sentiment tells us about why customers churn22 cited
  • 2024Enhancing churn forecasting with sentiment analysis of steam reviews15 cited
  • 2022Predicting Customer Churn on OTT Platforms13 cited
  • 2021Prediction of Customer Churn in Telecom Industry: A Machine Learning Perspective13 cited
  • 2023“Churn Prediction in Telecommunication Industry”11 cited
  • 2024Factors, Predictability, and Explainability of Mobile Telephony Customer Departure in Telecommunications Companies: A Systematic Review of the Literature9 cited