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Churn Prediction Using Dynamic RFM-Augmented Node2vec
16 references·0 citing·47 second hop
Churn Prediction Using Dynamic RFM-Augmented Node2vec (2017)Churn Prediction Using Dynamic RFM-Augmen…Telco Churn Prediction with Big Data (2015)Telco Churn Prediction with B…Improved churn prediction in telecommunication industry using data mining techniques (2014)Improved churn prediction in …Improved churn prediction in telecommunication industry by analyzing a large network (2014)Improved churn prediction in …Prediction of Subscriber Churn Using Social Network Analysis (2013)Prediction of Subscriber Chur…Combining Customer Attribute and Social Network Mining for Prepaid Mobile Churn Prediction (2013)Combining Customer Attribute …Improving customer retention in financial services using kinship network information (2012)Improving customer retention …A hierarchical multiple kernel support vector machine for customer churn prediction using longitudinal behavioral data (2012)A hierarchical multiple kerne…A Graph-Based Churn Prediction Model for Mobile Telecom Networks (2012)A Graph-Based Churn Predictio…Predicting customer churn through interpersonal influence (2011)Predicting customer churn thr…Role defining using behavior-based clustering in telecommunication network (2010)Role defining using behavior-…Churn models for prepaid customers in the cellular telecommunication industry using large data marts (2009)Churn models for prepaid cust…Social ties and their relevance to churn in mobile telecom networks (2008)Social ties and their relevan…Classifying the segmentation of customer value via RFM model and RS theory (2008)Classifying the segmentation …Segmentation approaches in data-mining: A comparison of RFM, CHAID, and logistic regression (2007)Segmentation approaches in da…Applying data mining to telecom churn management (2005)Applying data mining to telec…Strategic Database Marketing: The Masterplan for Starting and Managing a Profitable, Customer-Based Marketing Program (1994)Strategic Database Marketing:…Experiments in induction (1966)Experiments in Induction (1967)A Data Mining-Based Framework for Supply Chain Risk Management (2018)Machine-Learning Techniques for Customer Retention: A Comparative Study (2018)Predicting Employee Attrition Using Machine Learning Techniques (2020)E-Business 2.0: Roadmap for Success (2000)Marketing management: analysis. planning. implementation and control (2000)Cluster analysis using data mining approach to develop CRM methodology to assess the customer loyalty (2009)Estimating customer lifetime value based on RFM analysis of customer purchase behavior: Case study (2011)Service innovation and customer satisfaction: the role of customer value creation (2017)Power and Centrality: A Family of Measures (1987)Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry (2000)Intelligent data analysis approaches to churn as a business problem: a survey (2016)Does country-of-origin brand personality generate retail customer lifetime value? A Big Data analytics approach (2017)Hyperparameter Optimization and Combined Data Sampling Techniques in Machine Learning for Customer Churn Prediction: A Comparative Analysis (2023)Turning telecommunications call details to churn prediction: a data mining approach (2002)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Modeling partial customer churn: On the value of first product-category purchase sequences (2012)Intelligent churn prediction in telecom: employing mRMR feature selection and RotBoost based ensemble classification (2013)Dynamic churn prediction framework with more effective use of rare event data: The case of private banking (2014)Handling class imbalance in customer churn prediction (2008)New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)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)Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)A Big Data Clustering Algorithm for Mitigating the Risk of Customer Churn (2016)Marketing analytics: Methods, practice, implementation, and links to other fields (2018)Leveraging unstructured call log data for customer churn prediction (2020)Strategic database marketing (1994)A review of the application of RFM model (2010)Customer segmentation of multiple category data in e-commerce using a soft-clustering approach (2010)Customer churn prediction in the online gambling industry: The beneficial effect of ensemble learning (2013)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Building Data Mining Applications for CRM (1999)A survey of results on mobile phone datasets analysis (2015)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)The Strength of Weak Ties (1973)Structural Holes: The Social Structure of Competition (1995)Diffusion of innovations. (2003)Predicting customer churn in mobile networks through analysis of social groups (2010)Customer churn prediction in the telecommunication sector using a rough set approach (2016)The value of big data for credit scoring: Enhancing financial inclusion using mobile phone data and social network analytics (2018)How Customer Self-Determination Influences Relational Marketing Outcomes: Evidence from Longitudinal Field Studies (2006)Identifying influential reviewers for word-of-mouth marketing (2010)Customer lifetime value determination based on RFM model (2016)
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References

  • 2005Applying data mining to telecom churn management514 cited
  • 2008Classifying the segmentation of customer value via RFM model and RS theory426 cited
  • 2008Social ties and their relevance to churn in mobile telecom networks329 cited
  • 2007Segmentation approaches in data-mining: A comparison of RFM, CHAID, and logistic regression307 cited
  • 2014Improved churn prediction in telecommunication industry using data mining techniques176 cited
  • 2012A hierarchical multiple kernel support vector machine for customer churn prediction using longitudinal behavioral data146 cited
  • 2015Telco Churn Prediction with Big Data130 cited
  • 1994Strategic Database Marketing: The Masterplan for Starting and Managing a Profitable, Customer-Based Marketing Program104 cited
  • 2009Churn models for prepaid customers in the cellular telecommunication industry using large data marts102 cited
  • 2014Improved churn prediction in telecommunication industry by analyzing a large network83 cited
  • 2011Predicting customer churn through interpersonal influence72 cited
  • 2012Improving customer retention in financial services using kinship network information64 cited
  • 2013Prediction of Subscriber Churn Using Social Network Analysis61 cited
  • 2010Role defining using behavior-based clustering in telecommunication network

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34 cited
  • 2013Combining Customer Attribute and Social Network Mining for Prepaid Mobile Churn Prediction19 cited
  • 2012A Graph-Based Churn Prediction Model for Mobile Telecom Networks15 cited
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