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Predictive to Prescriptive Analysis for Customer Churn in Telecom Industry Using Hybrid Data Mining Techniques
7 references·1 citing·38 second hop
Predictive to Prescriptive Analysis for Customer Churn in Telecom Industry Using Hybrid Data Mining Techniques (2018)Predictive to Prescriptive Analysis for C…Analysis of customer churn prediction in telecom industry using decision trees and logistic regression (2016)Analysis of customer churn pr…A Hybrid Churn Prediction Model in Mobile Telecommunication Industry (2013)A Hybrid Churn Prediction Mod…Churn models for prepaid customers in the cellular telecommunication industry using large data marts (2009)Churn models for prepaid cust…Customer Churn Time Prediction in Mobile Telecommunication Industry Using Ordinal Regression (2008)Customer Churn Time Predictio…An LTV model and customer segmentation based on customer value: a case study on the wireless telecommunication industry (2003)An LTV model and customer seg…Turning telecommunications call details to churn prediction: a data mining approach (2002)Turning telecommunications ca…Customer satisfaction, customer retention, and market share (1993)Customer satisfaction, custom…Retail Customer Churn Analysis using RFM Model and K-Means Clustering (2021)Retail Customer Churn Analysi…A Dynamic Model of the Duration of the Customer's Relationship with a Continuous Service Provider: The Role of Satisfaction (1998)Churn in Social Networks (2010)Telecommunication System Based on Fuzzy Graphs (2014)Can machine learning techniques predict customer dissatisfaction? A feasibility study for the automotive industry (2016)A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions (1980)A Conceptual Model of Service Quality and Its Implications for Future Research (1985)SERVQUAL: A multiple-Item Scale for measuring consumer perceptions of service quality (1988)Customer Satisfaction, Market Share, and Profitability: Findings from Sweden (1994)Customer loyalty in e-commerce: an exploration of its antecedents and consequences (2002)Examining the structural relationships of destination image, tourist satisfaction and destination loyalty: An integrated approach (2007)Applying data mining to telecom churn management (2005)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Modeling partial customer churn: On the value of first product-category purchase sequences (2012)Intelligent churn prediction in telecom: employing mRMR feature selection and RotBoost based ensemble classification (2013)Dynamic churn prediction framework with more effective use of rare event data: The case of private banking (2014)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 comparison of machine learning techniques for customer churn prediction (2015)Customer lifetime valuation to support marketing decision making (1997)Customer lifetime value: Marketing models and applications (1998)Customer lifetime value research in marketing: A review and future directions (2002)Computer assisted customer churn management: State-of-the-art and future trends (2005)Customer segmentation and strategy development based on customer lifetime value: A case study (2005)Building comprehensible customer churn prediction models with advanced rule induction techniques (2010)LEARNING FROM CUSTOMER DEFECTIONS (1996)Customer retention, loyalty, and satisfaction in the German mobile cellular telecommunications market (2001)Mixed Methods Research: A Research Paradigm Whose Time Has Come (2004)Telecom churn prediction and used techniques, datasets and performance measures: a review (2020)Hybrid approach using machine learning algorithms for customers' churn prediction in the telecommunications industry (2021)Swarm intelligence goal-oriented approach to data-driven innovation in customer churn management (2021)Telecommunication subscribers' churn prediction model using machine learning (2013)A review and analysis of churn prediction methods for customer retention in telecom industries (2017)A Swish RNN based customer churn prediction for the telecom industry with a novel feature selection strategy (2022)Machine learning based customer churn prediction in home appliance rental business (2023)A Survey on Customer Churn Prediction using Machine Learning Techniques (2016)The Research of Online Shopping Customer Churn Prediction Based on Integrated Learning (2018)Customer churn prediction in telecom using machine learning in big data platform (2019)
this work references cited by second hop

References

  • 1993Customer satisfaction, customer retention, and market share2,151 cited
  • 2002Turning telecommunications call details to churn prediction: a data mining approach460 cited
  • 2003An LTV model and customer segmentation based on customer value: a case study on the wireless telecommunication industry411 cited
  • 2009Churn models for prepaid customers in the cellular telecommunication industry using large data marts102 cited
  • 2016Analysis of customer churn prediction in telecom industry using decision trees and logistic regression101 cited
  • 2013A Hybrid Churn Prediction Model in Mobile Telecommunication Industry57 cited
  • 2008Customer Churn Time Prediction in Mobile Telecommunication Industry Using Ordinal Regression37 cited

Cited by

  • 2021Retail Customer Churn Analysis using RFM Model and K-Means Clustering11 cited

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