SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Performance Evaluation of Various Classification Techniques for Customer Churn Prediction in E-commerce
16 references·1 citing·42 second hop
Performance Evaluation of Various Classification Techniques for Customer Churn Prediction in E-commerce (2022)Performance Evaluation of Various Classif…The Use of Cronbach’s Alpha When Developing and Reporting Research Instruments in Science Education (2017)The Use of Cronbach’s Alpha W…A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry (2016)A comparative analysis of dat…A comparison of machine learning techniques for customer churn prediction (2015)A comparison of machine learn…A study of the impact of social media on consumers (2014)A study of the impact of soci…Bringing “Social” Into Sales: The Impact of Salespeople’S Social Media Use on Service Behaviors and Value Creation (2012)Bringing “Social” Into Sales:…The Role of Marketing in Social Media: How Online Consumer Reviews Evolve (2011)The Role of Marketing in Soci…New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)New insights into churn predi…Introduction to the Special Issue Social Commerce: A Research Framework for Social Commerce (2011)Introduction to the Special I…The influence of extro/introversion on the intention to pay for social networking sites (2010)The influence of extro/introv…Handling class imbalance in customer churn prediction (2008)Handling class imbalance in c…Customer churn prediction using improved balanced random forests (2008)Customer churn prediction usi…Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)Defection Detection: Measurin…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…Bagging and Boosting Classification Trees to Predict Churn (2006)Bagging and Boosting Classifi…A novel evolutionary data mining algorithm with applications to churn prediction (2003)A novel evolutionary data min…Customer loyalty in e-commerce: an exploration of its antecedents and consequences (2002)Customer loyalty in e-commerc…Enhancing customer retention in Online Retail through churn prediction: A hybrid RFM, K-means, and deep neural network approach (2025)Enhancing customer retention …A Paradigm for Developing Better Measures of Marketing Constructs (1979)Conceptualizing, Measuring, and Managing Customer-Based Brand Equity (1993)The Behavioral Consequences of Service Quality (1996)eTailQ: dimensionalizing, measuring and predicting etail quality (2003)The influence of online product recommendations on consumers’ online choices (2004)Using PLS Path Modeling for Assessing Hierarchical Construct Models: Guidelines and Empirical Illustration1 (2009)Structural equation modeling in practice: A review and recommended two-step approach. (1988)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)User Acceptance of Computer Technology: A Comparison of Two Theoretical Models (1989)Social commerce constructs and consumer's intention to buy (2015)Consumer behavior in social commerce: A literature review (2016)THE EFFECT OF SOCIAL MEDIA MARKETING ACTIVITIES ON BRAND AWARENESS, BRAND IMAGE AND BRAND LOYALTY (2018)The Effect of On-Line Consumer Reviews on Consumer Purchasing Intention: The Moderating Role of Involvement (2007)Credibility of Electronic Word-of-Mouth: Informational and Normative Determinants of On-line Consumer Recommendations (2009)What Drives Social Commerce: The Role of Social Support and Relationship Quality (2011)What motivates customers to participate in social commerce? The impact of technological environments and virtual customer experiences (2014)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Modeling Customer Lifetime Value (2006)Customer churn prediction in the telecommunication sector using a rough set approach (2016)Retention Futility: Targeting High-Risk Customers Might be Ineffective (2017)A machine learning framework for customer purchase prediction in the non-contractual setting (2018)Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting (2004)Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques (2006)Customer churn prediction system: a machine learning approach (2021)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Evaluating multiple classifiers for stock price direction prediction (2015)Customer churn prediction in telecom using machine learning in big data platform (2019)Turning telecommunications call details to churn prediction: a data mining approach (2002)Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management (2004)In Pursuit of Enhanced Customer Retention Management: Review, Key Issues, and Future Directions (2017)Coefficient Alpha and the Internal Structure of Tests (1951)What is coefficient alpha? An examination of theory and applications. (1993)OECD Education Working Papers (2010)Knowledge, attitude, and practice regarding COVID-19 outbreak in Bangladesh: An online-based cross-sectional study (2020)Knowledge, attitudes, and practices towards COVID-19 among Chinese residents during the rapid rise period of the COVID-19 outbreak: a quick online cross-sectional survey (2020)The Effect of Word of Mouth on Sales: Online Book Reviews (2006)Social media and consumer engagement: a review and research agenda (2016)Conceptualizing the electronic word-of-mouth process: What we know and need to know about eWOM creation, exposure, and evaluation (2019)Diffusion of Innovations 1 (2019)The Quarterly Journal of Economics (2024)Managing Customer Relationships in the Social Media Era: Introducing the Social CRM House (2013)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)
this work references cited by second hop

References

  • 2017The Use of Cronbach’s Alpha When Developing and Reporting Research Instruments in Science Education10,661 cited
  • 2002Customer loyalty in e-commerce: an exploration of its antecedents and consequences2,339 cited
  • 2011Introduction to the Special Issue Social Commerce: A Research Framework for Social Commerce959 cited
  • 2014A study of the impact of social media on consumers854 cited
  • 2011The Role of Marketing in Social Media: How Online Consumer Reviews Evolve606 cited
  • 2006Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models574 cited
  • 2008Handling class imbalance in customer churn prediction552 cited
  • 2015A comparison of machine learning techniques for customer churn prediction470 cited
  • 2011New insights into churn prediction in the telecommunication sector: A profit driven data mining approach460 cited
  • 2008Customer churn prediction using improved balanced random forests412 cited
  • 2006Bagging and Boosting Classification Trees to Predict Churn410 cited
  • 2003A novel evolutionary data mining algorithm with applications to churn prediction348 cited
  • 2012Bringing “Social” Into Sales: The Impact of Salespeople’S Social Media Use on Service Behaviors and Value Creation312 cited
  • 2010The influence of extro/introversion on the intention to pay for social networking sites

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

288 cited
  • 2006CRM at a pay-TV company: Using analytical models to reduce customer attrition by targeted marketing for subscription services241 cited
  • 2016A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry214 cited
  • Cited by

    • 2025Enhancing customer retention in Online Retail through churn prediction: A hybrid RFM, K-means, and deep neural network approach28 cited