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Predicting Churn of Expert Respondents in Social Networks Using Data Mining Techniques: A Case Study of Stack Overflow
14 references·0 citing·51 second hopsampled
Predicting Churn of Expert Respondents in Social Networks Using Data Mining Techniques: A Case Study of Stack Overflow (2015)Predicting Churn of Expert Respondents in…ANALYZING EMPLOYEE ATTRITION USING DECISION TREE ALGORITHMS (2013)ANALYZING EMPLOYEE ATTRITION …Predicting e-commerce company success by mining the text of its publicly-accessible website (2012)Predicting e-commerce company…Modeling partial customer churn: On the value of first product-category purchase sequences (2012)Modeling partial customer chu…Churn in Social Networks: A Discussion Boards Case Study (2010)Churn in Social Networks: A D…Building comprehensible customer churn prediction models with advanced rule induction techniques (2010)Building comprehensible custo…Applying Data Mining to Customer Churn Prediction in an Internet Service Provider (2010)Applying Data Mining to Custo…Domain knowledge integration in data mining using decision tables: case studies in churn prediction (2009)Domain knowledge integration …Cluster analysis using data mining approach to develop CRM methodology to assess the customer loyalty (2009)Cluster analysis using data m…Improving customer attrition prediction by integrating emotions from client/company interaction emails and evaluating multiple classifiers (2008)Improving customer attrition …CUSTOMER LIFETIME VALUE (CLV) MEASUREMENT BASED ON RFM MODEL (2007)CUSTOMER LIFETIME VALUE (CLV)…CRM at a pay-TV company: Using analytical models to reduce customer attrition by targeted marketing for subscription services (2006)CRM at a pay-TV company: Usin…Predicting customer retention and profitability by using random forests and regression forests techniques (2005)Predicting customer retention…Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting (2004)Customer base analysis: parti…An integrated data mining and behavioral scoring model for analyzing bank customers (2004)An integrated data mining and…Career Orientations of MIS Employees: An Empirical Analysis (1991)Building Data Mining Applications for CRM (1999)Retaining talent : a guide to analyzing and managing employee turnover (2008)Employee Attrition Estimation Using Random Forest Algorithm (2021)A Comparison of Machine Learning Approaches for Predicting Employee Attrition (2022)Automated Prediction of Employee Attrition Using Ensemble Model Based on Machine Learning Algorithms (2022)Customer lifetime value research in marketing: A review and future directions (2002)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)RFM and CLV: Using Iso-Value Curves for Customer Base Analysis (2005)Improved churn prediction in telecommunication industry by analyzing a large network (2014)The value of vehicle telematics data in insurance risk selection processes (2017)Large-scale Ensemble Model for Customer Churn Prediction in Search Ads (2018)Marketing Research: Methodological Foundations (1977)Self-generated validity and other effects of measurement on belief, attitude, intention, and behavior. (1988)The Customer Relationship Management Process: Its Measurement and Impact on Performance (2004)A Novel Profit Maximizing Metric for Measuring Classification Performance of Customer Churn Prediction Models (2012)A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry (2016)Customer churn prediction in the telecommunication sector using a rough set approach (2016)The loyalty effect: The hidden force behind growth, profits, and lasting value (1996)Customer Value, Satisfaction, Loyalty, and Switching Costs: An Illustration From a Business-to-Business Service Context (2004)Classifying the segmentation of customer value via RFM model and RS theory (2008)A review of the application of RFM model (2010)Customer relationship management mechanisms: A systematic review of the state of the art literature and recommendations for future research (2016)Research on the influence of after-sales service quality factors on customer satisfaction (2020)A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions (1980)Zero defections: quality comes to services. (1990)Determinants of Long-Term Orientation in Buyer-Seller Relationships (1994)Improved marketing decision making in a customer churn prediction context using generalized additive models (2009)An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction (2011)Leveraging unstructured call log data for customer churn prediction (2020)Customer satisfaction, customer retention, and market share (1993)The Behavioral Consequences of Service Quality (1996)Understanding the Customer Base of Service Providers: An Examination of the Differences between Switchers and Stayers (2000)Customer churn prediction in telecommunication industry using data certainty (2018)History, Evolution and Future of Big Data and Analytics: A Bibliometric Analysis of Its Relationship to Performance in Organizations (2019)A comparison of neural networks and linear scoring models in the credit union environment (1996)Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers (2000)Hybrid mining approach in the design of credit scoring models (2005)An empirical comparison of conventional techniques, neural networks and the three stage hybrid Adaptive Neuro Fuzzy Inference System (ANFIS) model for credit scoring analysis: The case of Turkish credit card data (2012)A review on customer segmentation methods for personalized customer targeting in e-commerce use cases (2023)From Marketing Mix to Relationship Marketing: Towards a Paradigm Shift in Marketing (1994)Predicting customer churn from valuable B2B customers in the logistics industry: a case study (2014)User segmentation for retention management in online social games (2017)Machine Learning to Develop Credit Card Customer Churn Prediction (2022)The Commitment-Trust Theory of Relationship Marketing (1994)Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques (2006)Customer churn prediction using improved balanced random forests (2008)On the Profitability of Long-Life Customers in a Noncontractual Setting: An Empirical Investigation and Implications for Marketing (2000)Forecasting Stock Index Movement: A Comparison of Support Vector Machines and Random Forest (2006)A machine learning framework for customer purchase prediction in the non-contractual setting (2018)
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References

  • 2004Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting425 cited
  • 2010Building comprehensible customer churn prediction models with advanced rule induction techniques366 cited
  • 2005Predicting customer retention and profitability by using random forests and regression forests techniques308 cited
  • 2006CRM at a pay-TV company: Using analytical models to reduce customer attrition by targeted marketing for subscription services241 cited
  • 2004An integrated data mining and behavioral scoring model for analyzing bank customers234 cited
  • 2009Cluster analysis using data mining approach to develop CRM methodology to assess the customer loyalty227 cited
  • 2008Improving customer attrition prediction by integrating emotions from client/company interaction emails and evaluating multiple classifiers141 cited
  • 2012Modeling partial customer churn: On the value of first product-category purchase sequences95 cited
  • 2009Domain knowledge integration in data mining using decision tables: case studies in churn prediction84 cited
  • 2013ANALYZING EMPLOYEE ATTRITION USING DECISION TREE ALGORITHMS80 cited
  • 2012Predicting e-commerce company success by mining the text of its publicly-accessible website74 cited
  • 2010Applying Data Mining to Customer Churn Prediction in an Internet Service Provider68 cited
  • 2007CUSTOMER LIFETIME VALUE (CLV) MEASUREMENT BASED ON RFM MODEL

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55 cited
  • 2010Churn in Social Networks: A Discussion Boards Case Study31 cited
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