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Churn prediction in subscriber management for mobile and wireless communications services
6 references·2 citing·35 second hop
Churn prediction in subscriber management for mobile and wireless communications services (2013)Churn prediction in subscriber management…A hierarchical multiple kernel support vector machine for customer churn prediction using longitudinal behavioral data (2012)A hierarchical multiple kerne…New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)New insights into churn predi…Predicting customer churn in mobile networks through analysis of social groups (2010)Predicting customer churn in …A combination of boosting and bagging for KDD Cup 2009 - fast scoring on a large database (2009)A combination of boosting and…Bagging binary and quantile predictors for time series (2005)Bagging binary and quantile p…Turning telecommunications call details to churn prediction: a data mining approach (2002)Turning telecommunications ca…A model for the mobile market based on customers profile to analyze the churning process (2016)A model for the mobile market…A Feature Extraction Method Based on Stacked Auto-Encoder for Telecom Churn Prediction (2016)A Feature Extraction Method B…Application of data mining techniques in customer relationship management: A literature review and classification (2008)Handling class imbalance in customer churn prediction (2008)Social network analytics for churn prediction in telco: Model building, evaluation and network architecture (2017)Dynamic behavior based churn prediction in mobile telecom (2020)Profit Driven Decision Trees for Churn Prediction (2020)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)Modeling Customer Lifetime Value (2006)Customer churn prediction in the telecommunication sector using a rough set approach (2016)Retention Futility: Targeting High-Risk Customers Might be Ineffective (2017)A machine learning framework for customer purchase prediction in the non-contractual setting (2018)Building Data Mining Applications for CRM (1999)Knowledge management and data mining for marketing (2001)A comparison of machine learning techniques for customer churn prediction (2015)Customer churn prediction in telecom using machine learning in big data platform (2019)The Combination of Forecasts (1969)CAViaR (2004)How Useful is Bagging in Forecasting Economic Time Series? A Case Study of US CPI Inflation (2005)Chapter 4 Forecast Combinations (2006)Forecasting the Distribution of Economic Variables in a Data-Rich Environment (2014)A comparison of AdaBoost algorithms for time series forecast combination (2016)AGE DIFFERENCES IN TECHNOLOGY ADOPTION DECISIONS: IMPLICATIONS FOR A CHANGING WORK FORCE (2000)Determinants of adoption of third generation mobile multimedia services (2004)An international comparison of technology adoption (2010)Customer attrition analysis for financial services using proportional hazard models (2003)CRM at a pay-TV company: Using analytical models to reduce customer attrition by targeted marketing for subscription services (2006)Customer churn prediction by hybrid neural networks (2009)Computer assisted customer churn management: State-of-the-art and future trends (2005)Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques (2006)Social ties and their relevance to churn in mobile telecom networks (2008)Social network analysis for customer churn prediction (2013)Analyzing Uber's Ride-sharing Economy (2017)Design and analysis of the KDD cup 2009 (2010)A New Channel Boosted Convolution Neural Network using Transfer Learning. (2018)Hybrid ensemble learning approaches to customer churn prediction (2021)
this work references cited by second hop

References

  • 2011New insights into churn prediction in the telecommunication sector: A profit driven data mining approach460 cited
  • 2002Turning telecommunications call details to churn prediction: a data mining approach460 cited
  • 2010Predicting customer churn in mobile networks through analysis of social groups168 cited
  • 2012A hierarchical multiple kernel support vector machine for customer churn prediction using longitudinal behavioral data146 cited
  • 2005Bagging binary and quantile predictors for time series77 cited
  • 2009A combination of boosting and bagging for KDD Cup 2009 - fast scoring on a large database28 cited

Cited by

  • 2016A model for the mobile market based on customers profile to analyze the churning process9 cited
  • 2016A Feature Extraction Method Based on Stacked Auto-Encoder for Telecom Churn Prediction8 cited

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