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Churn modeling with probabilistic meta paths-based representation learning
12 references·4 citing·46 second hop
Churn modeling with probabilistic meta paths-based representation learning (2019)Churn modeling with probabilistic meta pa…tcc2vec: RFM-informed representation learning on call graphs for churn prediction (2019)tcc2vec: RFM-informed represe…Using Deep Learning To Predict Customer Churn In A Mobile Telecomunication Network (2016)Using Deep Learning To Predic…Churn analysis using deep convolutional neural networks and autoencoders (2016)Churn analysis using deep con…Telco Churn Prediction with Big Data (2015)Telco Churn Prediction with B…Improved churn prediction in telecommunication industry by analyzing a large network (2014)Improved churn prediction in …Social network analysis for customer churn prediction (2013)Social network analysis for c…A hierarchical multiple kernel support vector machine for customer churn prediction using longitudinal behavioral data (2012)A hierarchical multiple kerne…Predicting customer churn through interpersonal influence (2011)Predicting customer churn thr…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…Strategic Database Marketing: The Masterplan for Starting and Managing a Profitable, Customer-Based Marketing Program (1994)Strategic Database Marketing:…A comprehensive survey on customer churn analysis studies (2025)A comprehensive survey on cus…Factors, Predictability, and Explainability of Mobile Telephony Customer Departure in Telecommunications Companies: A Systematic Review of the Literature (2024)Factors, Predictability, and …Churn prediction analysis of telecom customers using svm, random forest and logistic regression models using orange data mining tools (2024)Churn prediction analysis of …A Counterfactual Modeling Framework for Churn Prediction (2022)A Counterfactual Modeling Fra…Economic Action and Social Structure: The Problem of Embeddedness (1985)Social Ties and Word-of-Mouth Referral Behavior (1987)Birds of a Feather: Homophily in Social Networks (2001)A Hybrid Churn Prediction Model in Mobile Telecommunication Industry (2013)Time series for early churn detection: Using similarity based classification for dynamic networks (2018)Research on a Customer Churn Combination Prediction Model Based on Decision Tree and Neural Network (2020)Inequality and Heterogeneity: A Primitive Theory of Social Structure (1977)Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)An empirical comparison of techniques for the class imbalance problem in churn prediction (2017)Social network analytics for churn prediction in telco: Model building, evaluation and network architecture (2017)A big data analytics model for customer churn prediction in the retiree segment (2018)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)Applying data mining to telecom churn management (2005)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)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Handling class imbalance in customer churn prediction (2008)New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)Dynamic behavior based churn prediction in mobile telecom (2020)Profit Driven Decision Trees for 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)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)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)Churn Prediction with Sequential Data and Deep Neural Networks. A Comparative Analysis (2019)A Survey on Customer Churn Prediction using Machine Learning and data mining Techniques in E-commerce (2021)Churn prediction methods based on mutual customer interdependence (2023)
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References

  • 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
  • 2013Social network analysis for customer churn prediction164 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
  • 2014Improved churn prediction in telecommunication industry by analyzing a large network83 cited
  • 2011Predicting customer churn through interpersonal influence72 cited
  • 2016Churn analysis using deep convolutional neural networks and autoencoders29 cited
  • 2019tcc2vec: RFM-informed representation learning on call graphs for churn prediction23 cited
  • 2016Using Deep Learning To Predict Customer Churn In A Mobile Telecomunication Network20 cited

Cited by

  • 2022A Counterfactual Modeling Framework for Churn Prediction17 cited
  • 2025A comprehensive survey on customer churn analysis studies

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15 cited
  • 2024Factors, Predictability, and Explainability of Mobile Telephony Customer Departure in Telecommunications Companies: A Systematic Review of the Literature9 cited
  • 2024Churn prediction analysis of telecom customers using svm, random forest and logistic regression models using orange data mining tools8 cited