SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Developing strategies to retain organizational insurers using a clustering technique: Evidence from the insurance industry
16 references·0 citing·49 second hop
Developing strategies to retain organizational insurers using a clustering technique: Evidence from the insurance industry (2024)Developing strategies to retain organizat…Machine learning based customer churn prediction in home appliance rental business (2023)Machine learning based custom…Extreme gradient boosting trees with efficient Bayesian optimization for profit-driven customer churn prediction (2023)Extreme gradient boosting tre…Empirical analysis of tree-based classification models for customer churn prediction (2023)Empirical analysis of tree-ba…Customer churning analysis using machine learning algorithms (2023)Customer churning analysis us…An adaptive learning approach for customer churn prediction in the telecommunication industry using evolutionary computation and Naïve Bayes (2023)An adaptive learning approach…Customer price sensitivities in competitive insurance markets (2022)Customer price sensitivities …Customer Churn Prediction in Telecom Sector Using Machine Learning Techniques (2022)Customer Churn Prediction in …Customer churn prediction for web browsers (2022)Customer churn prediction for…Customer churn prediction in telecommunication industry using data certainty (2018)Customer churn prediction in …A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)A new hybrid classification a…Early churn prediction with personalized targeting in mobile social games (2017)Early churn prediction with p…The gamma CUSUM chart method for online customer churn prediction (2016)The gamma CUSUM chart method …Predicting Probability of Customer Churn in Insurance (2016)Predicting Probability of Cus…Modelling and predicting customer churn from an insurance company (2011)Modelling and predicting cust…Customer churn prediction by hybrid neural networks (2009)Customer churn prediction by …Zero defections: quality comes to services. (1990)Zero defections: quality come…Customer Switching Behavior in Service Industries: An Exploratory Study (1995)Forecasting with artificial neural networks: (1998)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Churn prediction using comprehensible support vector machine: An analytical CRM application (2014)Customers churn prediction and marketing retention strategies. An application of support vector machines based on the AUC parameter-selection technique in B2B e-commerce industry (2016)CRM at a pay-TV company: Using analytical models to reduce customer attrition by targeted marketing for subscription services (2006)Customer churn prediction using improved balanced random forests (2008)Customer churn prediction in telecommunications (2011)Large-scale Ensemble Model for Customer Churn Prediction in Search Ads (2018)Predictive analytics for customer repurchase: Interdisciplinary integration of buy till you die modeling and machine learning (2021)Churn prediction in digital game-based learning using data mining techniques: Logistic regression, decision tree, and random forest (2022)Credit Scoring and Its Applications (2002)The Impact of Customer Relationship Characteristics on Profitable Lifetime Duration (2003)Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)COVID‐19 Pandemic in the New Era of Big Data Analytics: Methodological Innovations and Future Research Directions (2020)Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects (2021)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)Handling class imbalance in customer churn prediction (2008)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)Data mining for direct marketing: problems and solutions (1998)The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services (2004)ChurnNet: Deep Learning Enhanced Customer Churn Prediction in Telecommunication Industry (2024)Enhancing customer retention in telecom industry with machine learning driven churn prediction (2024)Customer Churn Prediction: A Systematic Review of Recent Advances, Trends, and Challenges in Machine Learning and Deep Learning (2025)Why Satisfied Customers Defect (1995)Understanding the Effect of Customer Relationship Management Efforts on Customer Retention and Customer Share Development (2003)Customer churn analysis using feature optimization methods and tree-based classifiers (2024)A Comprehensive Evaluation of Machine Learning and Deep Learning Models for Churn Prediction (2025)Bridging Predictive Insights and Retention Strategies: The Role of Account Balance in Banking Churn Prediction (2025)A comparison of machine learning techniques for customer churn prediction (2015)A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector (2019)Customer churn prediction in telecom using machine learning in big data platform (2019)Customer Churn Prediction using Machine Learning Models (2024)Improving Churn Detection in the Banking Sector: A Machine Learning Approach with Probability Calibration Techniques (2024)A data-driven approach with explainable artificial intelligence for customer churn prediction in the telecommunications industry (2025)The mismanagement of customer loyalty. (2002)A novel classification algorithm for customer churn prediction based on hybrid Ensemble-Fusion model (2024)Profit-driven fusion framework based on bagging and boosting classifiers for potential purchaser prediction (2024)Profit-driven weighted classifier with interpretable ability for customer churn prediction (2024)Applying data mining to telecom churn management (2005)Prediction of customer churn using resampling and ensemble classification algorithms on telecom dataset (2023)Application of machine learning techniques for churn prediction in the telecom business (2024)Implementing machine learning techniques for customer retention and churn prediction in telecommunications (2024)A National Customer Satisfaction Barometer: The Swedish Experience (1992)The Behavioral Consequences of Service Quality (1996)Whence Consumer Loyalty? (1999)
this work references cited by second hop

References

  • 1990Zero defections: quality comes to services.5,373 cited
  • 2018A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees529 cited
  • 2009Customer churn prediction by hybrid neural networks321 cited
  • 2018Customer churn prediction in telecommunication industry using data certainty251 cited
  • 2022Customer Churn Prediction in Telecom Sector Using Machine Learning Techniques115 cited
  • 2023Customer churning analysis using machine learning algorithms95 cited
  • 2017Early churn prediction with personalized targeting in mobile social games83 cited
  • 2023Extreme gradient boosting trees with efficient Bayesian optimization for profit-driven customer churn prediction79 cited
  • 2023An adaptive learning approach for customer churn prediction in the telecommunication industry using evolutionary computation and Naïve Bayes76 cited
  • 2023Machine learning based customer churn prediction in home appliance rental business59 cited
  • 2011Modelling and predicting customer churn from an insurance company56 cited
  • 2022Customer churn prediction for web browsers32 cited
  • 2016The gamma CUSUM chart method for online customer churn prediction31 cited
  • 2016Predicting Probability of Customer Churn in Insurance24 cited

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

  • 2023Empirical analysis of tree-based classification models for customer churn prediction21 cited
  • 2022Customer price sensitivities in competitive insurance markets14 cited
  • Cited by

    No citing works inside the corpus for this window.