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Client Churn Prediction with Call Log Analysis
10 references·1 citing·49 second hop
Client Churn Prediction with Call Log Analysis (2018)Client Churn Prediction with Call Log Ana…Developing a prediction model for customer churn from electronic banking services using data mining (2016)Developing a prediction model…Customer Churn in Mobile Markets: A Comparison of Techniques (2016)Customer Churn in Mobile Mark…Telco Churn Prediction with Big Data (2015)Telco Churn Prediction with B…Customer Churn in Mobile Markets: A Comparison of Techniques (2015)Customer Churn in Mobile Mark…Dynamic churn prediction framework with more effective use of rare event data: The case of private banking (2014)Dynamic churn prediction fram…Churn prediction using comprehensible support vector machine: An analytical CRM application (2014)Churn prediction using compre…Linguistic Inquiry and Word Count (LIWC) (2012)Linguistic Inquiry and Word C…Integrating the voice of customers through call center emails into a decision support system for churn prediction (2008)Integrating the voice of cust…Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management (2004)Data Mining Techniques: For M…Turning telecommunications call details to churn prediction: a data mining approach (2002)Turning telecommunications ca…Churn Prediction via Multimodal Fusion Learning: Integrating Customer Financial Literacy, Voice, and Behavioral Data (2023)Churn Prediction via Multimod…Knowledge management and data mining for marketing (2001)The impact of switching costs on the customer satisfaction‐loyalty link: mobile phone service in France (2001)The analysis of antecedents of customer loyalty in the Turkish mobile telecommunication market (2005)Drivers of mobile payment acceptance: The impact of network externalities (2015)Technology, Demographic Characteristics and E-Learning Acceptance: A Conceptual Model Based on Extended Technology Acceptance Model (2016)A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector (2019)Applying data mining to telecom churn management (2005)Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)Handling class imbalance in customer churn prediction (2008)A Big Data Clustering Algorithm for Mitigating the Risk of Customer Churn (2016)Customer churn prediction in telecom using machine learning in big data platform (2019)Customer churn prediction system: a machine learning approach (2021)A Dynamic Model of the Duration of the Customer's Relationship with a Continuous Service Provider: The Role of Satisfaction (1998)Marketing Management: The Millennium Edition (1999)Financial time series forecasting using support vector machines (2003)B2C E-Commerce Customer Churn Prediction Based on K-Means and SVM (2022)Operational Research and Artificial Intelligence Methods in Banking (2022)Building Data Mining Applications for CRM (1999)Modelling Customer Retention with Statistical Techniques, Rough Data Models and Genetic Programming (1999)The evolving role of artificial intelligence in marketing: A review and research agenda (2021)Human behavior and the principle of least effort (1949)Human Behaviour and the Principle of Least Effort. 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this work references cited by second hop

References

  • 2012Linguistic Inquiry and Word Count (LIWC)2,215 cited
  • 2004Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management1,232 cited
  • 2002Turning telecommunications call details to churn prediction: a data mining approach467 cited
  • 2014Churn prediction using comprehensible support vector machine: An analytical CRM application175 cited
  • 2008Integrating the voice of customers through call center emails into a decision support system for churn prediction163 cited
  • 2015Telco Churn Prediction with Big Data130 cited
  • 2016Developing a prediction model for customer churn from electronic banking services using data mining116 cited
  • 2014Dynamic churn prediction framework with more effective use of rare event data: The case of private banking98 cited
  • 2015Customer Churn in Mobile Markets: A Comparison of Techniques63 cited
  • 2016Customer Churn in Mobile Markets: A Comparison of Techniques63 cited

Cited by

  • 2023Churn Prediction via Multimodal Fusion Learning: Integrating Customer Financial Literacy, Voice, and Behavioral Data9 cited

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