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An SVM based churn detector in prepaid mobile telephony
3 references·6 citing·44 second hop
An SVM based churn detector in prepaid mobile telephony (2004)An SVM based churn detector in prepaid mo…Customer lifetime value modeling and its use for customer retention planning (2002)Customer lifetime value model…User profiling and classification for fraud detection in mobile communications networks (2000)User profiling and classifica…Statistics and data mining techniques for lifetime value modeling (1999)Statistics and data mining te…Employee turnover in multinational corporations: a supervised machine learning approach (2024)Employee turnover in multinat…The impact of geographical factors on churn prediction: an application to an insurance company in Madrid's urban area (2018)The impact of geographical fa…Enhancing Telco Service Quality with Big Data Enabled Churn Analysis: Infrastructure, Model, and Deployment (2015)Enhancing Telco Service Quali…The Architecture of a Churn Prediction System Based on Stream Mining (2013)The Architecture of a Churn P…User Modeling for Telecommunication Applications: Experiences and Practical Implications (2010)User Modeling for Telecommuni…The Impact of Experimental Setup in Prepaid Churn Prediction for Mobile Telecommunications: What to Predict, for Whom and Does the Customer Experience Matter? (2010)The Impact of Experimental Se…Talk of the Network: A Complex Systems Look at the Underlying Process of Word-of-Mouth (2001)Turning telecommunications call details to churn prediction: a data mining approach (2002)A novel evolutionary data mining algorithm with applications to churn prediction (2003)Customer Experience Management: A Revolutionary Approach to Connecting with Your Customers (2003)Understanding customer experience. (2007)The Experience Economy (2012)Combining Customer Attribute and Social Network Mining for Prepaid Mobile Churn Prediction (2013)The Importance of Social Embeddedness: Churn Models at Mobile Providers (2014)Combining Local and Social Network Classifiers to Improve Churn Prediction (2015)Analyzing Duration Times in Marketing: Evidence for the Effectiveness of Hazard Rate Models (1993)A Dynamic Model of the Duration of the Customer's Relationship with a Continuous Service Provider: The Role of Satisfaction (1998)Comparison procedure of predicting the time to default in behavioural scoring (2008)Group CRM (2009)Modelling and predicting customer churn from an insurance company (2011)Applying data mining to telecom churn management (2005)Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques (2006)Toward Scalable Systems for Big Data Analytics: A Technology Tutorial (2014)Machine learning techniques applied to prepaid subscribers: Case study on the telecom industry of Morocco (2017)Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)Predicting customer churn in mobile networks through analysis of social groups (2010)Customer churn prediction in telecommunications (2011)Enhanced Churn Prediction Model with Boosted Trees Algorithms in The Banking Sector (2021)The Role of Service Recovery in Post-purchase Consumer Behavior During COVID-19: A Malaysian Perspective (2022)Optimising customer retention: An AI-driven personalised pricing approach (2024)Quantitative Methods in Credit Management: A Survey (1994)Detection of Management Fraud: A Neural Network Approach (1995)Methods For Combining Experts' Probability Assessments (1995)Data Mining for Managing Intrinsic Quality of Service in Digital Mobile Telecommunications Networks (2004)Data mining, fraud detection and mobile telecommunications: call pattern analysis with unsupervised neural networks (2005)Applying User Signatures on Fraud Detection in Telecommunications Networks (2011)On the asymptotic distribution of the Moran I test statistic with applications (2001)An Introduction to Spatial Econometrics (2008)Introduction to Spatial Econometrics (2009)Spatial models for online retail churn: Evidence from an online grocery delivery service in Madrid (2020)Customer price sensitivities in competitive insurance markets (2022)Predicting Customer Churn on OTT Platforms (2022)PEOPLE AND ORGANIZATIONAL CULTURE: A PROFILE COMPARISON APPROACH TO ASSESSING PERSON-ORGANIZATION FIT (1991)Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. (2000)Sources of Method Bias in Social Science Research and Recommendations on How to Control It (2011)Developing a hybrid machine learning model for employee turnover prediction: Integrating LightGBM and genetic algorithms (2025)Machine Learning Approaches for Predicting Employee Turnover: A Systematic Review (2025)The impact of customer relationship characteristics on customer switching behavior (2006)The 2005 ISMS Practice Prize Winner—Customer Equity and Lifetime Management (CELM) Finnair Case Study (2007)Business Intelligence from Voice of Customer (2009)
this work references cited by second hop

References

  • 2002Customer lifetime value modeling and its use for customer retention planning68 cited
  • 1999Statistics and data mining techniques for lifetime value modeling61 cited
  • 2000User profiling and classification for fraud detection in mobile communications networks45 cited

Cited by

  • 2010The Impact of Experimental Setup in Prepaid Churn Prediction for Mobile Telecommunications: What to Predict, for Whom and Does the Customer Experience Matter?27 cited
  • 2024Employee turnover in multinational corporations: a supervised machine learning approach22 cited
  • 2010User Modeling for Telecommunication Applications: Experiences and Practical Implications21 cited
  • 2018The impact of geographical factors on churn prediction: an application to an insurance company in Madrid's urban area21 cited
  • 2013The Architecture of a Churn Prediction System Based on Stream Mining19 cited
  • 2015Enhancing Telco Service Quality with Big Data Enabled Churn Analysis: Infrastructure, Model, and Deployment17 cited

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