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Case Study on CRM: Detecting Likely Churners with Limited Information of Fixed-line Subscriber
9 references·1 citing·34 second hop
Case Study on CRM: Detecting Likely Churners with Limited Information of Fixed-line Subscriber (2006)Case Study on CRM: Detecting Likely Churn…Predicting customer behavior in telecommunications (2004)Predicting customer behavior …Understanding customer relationship management (CRM) (2003)Understanding customer relati…A novel evolutionary data mining algorithm with applications to churn prediction (2003)A novel evolutionary data min…Turning telecommunications call details to churn prediction: a data mining approach (2002)Turning telecommunications ca…Improving prediction of customer behavior in nonstationary environments (2002)Improving prediction of custo…Data mining techniques for customer relationship management (2002)Data mining techniques for cu…Knowledge management and data mining for marketing (2001)Knowledge management and data…Mastering Data Mining: The Art and Science of Customer Relationship Management (2000)Mastering Data Mining: The Ar…Building Data Mining Applications for CRM (1999)Building Data Mining Applicat…Churn prediction in Turkey's telecommunications sector: A proposed multiobjective–cost‐sensitive ant colony optimization (2019)Churn prediction in Turkey's …Reengineering the Corporation (1993)Reengineering the corporation: A manifesto for business revolution (1993)An evaluation of divergent perspectives on customer relationship management: Towards a common understanding of an emerging phenomenon (2004)Customer relationship management: Finding value drivers (2006)The New Industrial Engineering: Information Technology and Business Process Redesign (2011)Social media technology usage and customer relationship performance: A capabilities-based examination of social CRM (2013)Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry (2000)A Churn-Strategy Alignment Model for Managers in Mobile Telecom (2005)A Mixed Process Neural Network and its Application to Churn Prediction in Mobile Communications (2006)TreeLogit Model for Customer Churn Prediction (2006)A Tutorial Introduction to Decision Theory (1968)Separating financial from commercial customer churn: A modeling step towards resolving the conflict between the sales and credit department (2007)Applying Data Mining to Customer Churn Prediction in an Internet Service Provider (2010)Intelligent data analysis approaches to churn as a business problem: a survey (2016)Is your company ready for one-to-one marketing? (1999)Knowledge management technologies and applications—literature review from 1995 to 2002 (2003)Building a Data Warehouse (2008)Artificial intelligence in supply chain management: A systematic literature review (2020)Data preparation for data mining (2003)Applying data mining to telecom churn management (2005)Handling class imbalance in customer churn prediction (2008)Identification of Customer Churn Considering Difficult Case Mining (2023)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Information Exposure, Opportunity Evaluation and Entrepreneurial Action: An Investigation of an Online User Community (2013)The big data divide (2014)Applications of Artificial Intelligence in commercial banks – A research agenda for behavioral finance (2020)Computer assisted customer churn management: State-of-the-art and future trends (2005)Customer relationship management research (1992‐2002) (2005)Harnessing marketing automation for B2B content marketing (2015)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 churn prediction in telecom using machine learning in big data platform (2019)Social ties and their relevance to churn in mobile telecom networks (2008)Customer churn prediction in telecommunications (2011)
this work references cited by second hop

References

  • 2003Understanding customer relationship management (CRM)1,228 cited
  • 1999Building Data Mining Applications for CRM599 cited
  • 2001Knowledge management and data mining for marketing575 cited
  • 2002Data mining techniques for customer relationship management508 cited
  • 2000Mastering Data Mining: The Art and Science of Customer Relationship Management470 cited
  • 2002Turning telecommunications call details to churn prediction: a data mining approach460 cited
  • 2003A novel evolutionary data mining algorithm with applications to churn prediction348 cited
  • 2004Predicting customer behavior in telecommunications81 cited
  • 2002Improving prediction of customer behavior in nonstationary environments38 cited

Cited by

  • 2019Churn prediction in Turkey's telecommunications sector: A proposed multiobjective–cost‐sensitive ant colony optimization12 cited

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