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A Neural Network based Approach for Predicting Customer Churn in Cellular Network Services
8 references·16 citing·44 second hop
A Neural Network based Approach for Predicting Customer Churn in Cellular Network Services (2011)A Neural Network based Approach for Predi…CRM at a pay-TV company: Using analytical models to reduce customer attrition by targeted marketing for subscription services (2006)CRM at a pay-TV company: Usin…Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques (2006)Churn prediction in subscript…Determinants of subscriber churn and customer loyalty in the Korean mobile telephony market (2004)Determinants of subscriber ch…Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting (2004)Customer base analysis: parti…Customer attrition analysis for financial services using proportional hazard models (2003)Customer attrition analysis f…Turning telecommunications call details to churn prediction: a data mining approach (2002)Turning telecommunications ca…Building Data Mining Applications for CRM (1999)Building Data Mining Applicat…Customer Switching Behavior in Service Industries: An Exploratory Study (1995)Customer Switching Behavior i…Customer Churn Prediction for Telecommunication Companies using Machine Learning and Ensemble Methods (2024)Customer Churn Prediction for…Impact of Hyperparameters on Deep Learning Model for Customer Churn Prediction in Telecommunication Sector (2022)Impact of Hyperparameters on …Detecting the Risk of Customer Churn in Telecom Sector: A Comparative Study (2022)Detecting the Risk of Custome…Artificial Intelligence Based Customer Churn Prediction Model for Business Markets (2022)Artificial Intelligence Based…Giant fight: Customer churn prediction in traditional broadcast industry (2021)Giant fight: Customer churn p…CUSTOMER CHURN PREDICTION (2021)CUSTOMER CHURN PREDICTIONCustomer Churn Prediction in Telecom Sector with Machine Learning and Information Gain Filter Feature Selection Algorithms (2021)Customer Churn Prediction in …Telecom churn prediction and used techniques, datasets and performance measures: a review (2020)Telecom churn prediction and …Predicting Customer Retention using XGBoost and Balancing Methods (2020)Predicting Customer Retention…Exploring nested ensemble learners using overproduction and choose approach for churn prediction in telecom industry (2018)Exploring nested ensemble lea…Comparison of learning techniques for prediction of customer churn in telecommunication (2018)Comparison of learning techni…Customer churn prediction model using data mining techniques (2017)Customer churn prediction mod…Negative Correlation Learning for Customer Churn Prediction: A Comparison Study (2015)Negative Correlation Learning…Hybrid Data Mining Models for Predicting Customer Churn (2015)Hybrid Data Mining Models for…Churn Prediction in Telecommunication Industry Using Rough Set Approach (2014)Churn Prediction in Telecommu…A Survey on Churn Prediction Techniques in Communication Sector (2013)A Survey on Churn Prediction …A Logit Model of Brand Choice Calibrated on Scanner Data (1983)Customer Evaluations of Service Complaint Experiences: Implications for Relationship Marketing (1998)Switching barriers and repurchase intentions in services (2000)Customer churn prediction using improved balanced random forests (2008)Building comprehensible customer churn prediction models with advanced rule induction techniques (2010)Customer churn prediction in telecommunications (2011)Marketing Research: Methodological Foundations (1977)Self-generated validity and other effects of measurement on belief, attitude, intention, and behavior. (1988)The Customer Relationship Management Process: Its Measurement and Impact on Performance (2004)A Novel Profit Maximizing Metric for Measuring Classification Performance of Customer Churn Prediction Models (2012)A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry (2016)Customer churn prediction in the telecommunication sector using a rough set approach (2016)Determinants of Long-Term Orientation in Buyer-Seller Relationships (1994)The Behavioral Consequences of Service Quality (1996)Zero defections: quality comes to services. (1990)Measuring Service Quality: A Reexamination and Extension (1992)Relational Benefits in Services Industries: The Customer's Perspective (1998)A Model of Customer Satisfaction with Service Encounters Involving Failure and Recovery (1999)Self-Service Technologies: Understanding Customer Satisfaction with Technology-Based Service Encounters (2000)The Discovery of Grounded Theory (2017)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)The Commitment-Trust Theory of Relationship Marketing (1994)SERVQUAL: A multiple-Item Scale for measuring consumer perceptions of service quality (1988)Customer Loyalty: Toward an Integrated Conceptual Framework (1994)The relationships of customer satisfaction, customer loyalty, and profitability: an empirical study (1996)M‐loyalty: winning strategies for mobile carriers (2006)Determinants of customer loyalty in the wireless telecommunications industry (2007)Improved churn prediction in telecommunication industry using data mining techniques (2014)A novel evolutionary data mining algorithm with applications to churn prediction (2003)Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)An ensemble based approach using a combination of clustering and classification algorithms to enhance customer churn prediction in telecom industry (2022)Performance Evaluation of Various Classification Techniques for Customer Churn Prediction in E-commerce (2022)Characterizing Internet Card User Portraits for Efficient Churn Prediction Model Design (2023)Customer churn prediction in telecom using machine learning in big data platform (2019)Incorporating textual information in customer churn prediction models based on a convolutional neural network (2019)Churn Prediction in Telecommunication using Logistic Regression and Logit Boost (2020)Archimedes Optimization Algorithm-Based Feature Selection with Hybrid Deep-Learning-Based Churn Prediction in Telecom Industries (2023)Customer Churn Prevention For E-commerce Platforms using Machine Learning-based Business Intelligence (2023)AI-Based Customer Churn Prediction Model for Business Markets in the USA: Exploring the Use of AI and Machine Learning Technologies in Preventing Customer Churn (2024)Applying data mining to telecom churn management (2005)Application of data mining techniques in customer relationship management: A literature review and classification (2008)
this work references cited by second hop

References

  • 1995Customer Switching Behavior in Service Industries: An Exploratory Study2,903 cited
  • 1999Building Data Mining Applications for CRM599 cited
  • 2002Turning telecommunications call details to churn prediction: a data mining approach460 cited
  • 2006Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques432 cited
  • 2003Customer attrition analysis for financial services using proportional hazard models430 cited
  • 2004Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting425 cited
  • 2004Determinants of subscriber churn and customer loyalty in the Korean mobile telephony market417 cited
  • 2006CRM at a pay-TV company: Using analytical models to reduce customer attrition by targeted marketing for subscription services241 cited

Cited by

  • 2020Telecom churn prediction and used techniques, datasets and performance measures: a review54 cited
  • 2022Artificial Intelligence Based Customer Churn Prediction Model for Business Markets51 cited
  • 2022Impact of Hyperparameters on Deep Learning Model for Customer Churn Prediction in Telecommunication Sector48 cited
  • 2014Churn Prediction in Telecommunication Industry Using Rough Set Approach48 cited
  • 2015Hybrid Data Mining Models for Predicting Customer Churn46 cited

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

  • 2021Giant fight: Customer churn prediction in traditional broadcast industry41 cited
  • 2018Exploring nested ensemble learners using overproduction and choose approach for churn prediction in telecom industry37 cited
  • 2013A Survey on Churn Prediction Techniques in Communication Sector33 cited
  • 2024Customer Churn Prediction for Telecommunication Companies using Machine Learning and Ensemble Methods29 cited
  • 2021CUSTOMER CHURN PREDICTION29 cited
  • 2015Negative Correlation Learning for Customer Churn Prediction: A Comparison Study27 cited
  • 2021Customer Churn Prediction in Telecom Sector with Machine Learning and Information Gain Filter Feature Selection Algorithms27 cited
  • 2022Detecting the Risk of Customer Churn in Telecom Sector: A Comparative Study25 cited
  • 2020Predicting Customer Retention using XGBoost and Balancing Methods24 cited
  • 2018Comparison of learning techniques for prediction of customer churn in telecommunication21 cited
  • 2017Customer churn prediction model using data mining techniques20 cited