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A Personalized Defection Detection and Prevention Procedure based on the Self-Organizing Map and Association Rule Mining: Applied to Online Game Site
11 references·3 citing·41 second hop
A Personalized Defection Detection and Prevention Procedure based on the Self-Organizing Map and Association Rule Mining: Applied to Online Game Site (2004)A Personalized Defection Detection and Pr…Measuring the impact of data mining on churn management (2001)Measuring the impact of data …Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry (2000)Predicting subscriber dissati…Expanding to the Internet: Pricing and Communications Strategies When Firms Compete on Multiple Channels (2000)Expanding to the Internet: Pr…Developing a model of customer defection in the Australian banking industry (2000)Developing a model of custome…Customer Retention via Data Mining (2000)Customer Retention via Data M…Customer Relationship Management (CRM) in financial services (2000)Customer Relationship Managem…Automated Cellular Modeling and Prediction on a Large Scale (2000)Automated Cellular Modeling a…An Analysis of Customer Retention and Insurance Claim Patterns Using Data Mining: A Case Study (2000)An Analysis of Customer Reten…Customer Relationship Management: A Strategic Imperative in the World of e-Business (1999)Customer Relationship Managem…Building Data Mining Applications for CRM (1999)Building Data Mining Applicat…Genetic modelling of customer retention (1998)Genetic modelling of customer…Customer churn prediction in telecommunication (2015)Customer churn prediction in …Customer Relationship Management and Data Mining (2013)Customer Relationship Managem…Data Mining Applications in Customer Churn Management (2010)Data Mining Applications in C…Zero defections: quality comes to services. (1990)A National Customer Satisfaction Barometer: The Swedish Experience (1992)The Behavioral Consequences of Service Quality (1996)An empirical investigation of customer satisfaction and loyalty across two divergent bank segments (2005)Exploring customer switching intentions through relationship marketing paradigm (2012)Drivers of customers’ switching behaviour in Indian banking industry (2014)How information gives you competitive advantage (1985)Putting the Service-Profit Chain to Work (1994)Mass customization: The new frontier in business competition (1999)Strategic issues in customer relationship management (CRM) implementation (2003)Critical success factors for a customer relationship management strategy (2006)Why Leadership Matters to Internal Communication: Linking Transformational Leadership, Symmetrical Communication, and Employee Outcomes (2014)Customer Loyalty: Toward an Integrated Conceptual Framework (1994)Why Satisfied Customers Defect (1995)Measuring the Customer Experience in Online Environments: A Structural Modeling Approach (2000)Predicting credit card customer churn in banks using data mining (2008)A big data analytics model for customer churn prediction in the retiree segment (2018)A Survey on Churn Analysis in Various Business Domains (2020)Marketing in Hypermedia Computer-Mediated Environments: Conceptual Foundations (1996)Marketing management: analysis. planning. implementation and control (2000)Personalized Pricing and Quality Differentiation (2005)Information, Search, and Price Dispersion (2006)Marketing in Computer-Mediated Environments: Research Synthesis and New Directions (2013)American Economic Review (2019)Application of knowledge management technology in customer relationship management (2003)Customer Relationship Management: Its Dimensions and Effect on Customer Outcomes (2004)Customer relationship management and company performance—the mediating role of new product performance (2010)Applying Data Mining to Customer Churn Prediction in an Internet Service Provider (2010)Nearest-Neighbor Guided Evaluation of Data Reliability and Its Applications (2010)Intelligent data analysis approaches to churn as a business problem: a survey (2016)Churn Prediction: Does Technology Matter? (2008)Profit-based feature selection using support vector machines – General framework and an application for customer retention (2015)Turning telecommunications call details to churn prediction: a data mining approach (2002)Applying data mining to telecom churn management (2005)Application of data mining techniques in customer relationship management: A literature review and classification (2008)An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction (2011)Understanding Process Behaviours in a Large Insurance Company in Australia: A Case Study (2013)Machine Learning Approaches for Auto Insurance Big Data (2021)A novel evolutionary data mining algorithm with applications to churn prediction (2003)Computer assisted customer churn management: State-of-the-art and future trends (2005)Social ties and their relevance to churn in mobile telecom networks (2008)
this work references cited by second hop

References

  • 1999Building Data Mining Applications for CRM599 cited
  • 2000Customer Relationship Management (CRM) in financial services498 cited
  • 2000Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry347 cited
  • 2000Expanding to the Internet: Pricing and Communications Strategies When Firms Compete on Multiple Channels285 cited
  • 1999Customer Relationship Management: A Strategic Imperative in the World of e-Business241 cited
  • 2001Measuring the impact of data mining on churn management146 cited
  • 2000An Analysis of Customer Retention and Insurance Claim Patterns Using Data Mining: A Case Study137 cited
  • 2000Customer Retention via Data Mining105 cited
  • 2000Automated Cellular Modeling and Prediction on a Large Scale80 cited
  • 2000Developing a model of customer defection in the Australian banking industry69 cited
  • 1998Genetic modelling of customer retention29 cited

Cited by

  • 2010Data Mining Applications in Customer Churn Management19 cited
  • 2015Customer churn prediction in telecommunication16 cited
  • 2013Customer Relationship Management and Data Mining10 cited

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