SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Profit maximizing logistic regression modeling for customer churn prediction
7 references·2 citing·32 second hop
Profit maximizing logistic regression modeling for customer churn prediction (2015)Profit maximizing logistic regression mod…Analytics In A Big Data World: The Essential Guide To Data Science And Its Applications (2014)Analytics In A Big Data World…A Novel Profit Maximizing Metric for Measuring Classification Performance of Customer Churn Prediction Models (2012)A Novel Profit Maximizing Met…New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)New insights into churn predi…Building comprehensible customer churn prediction models with advanced rule induction techniques (2010)Building comprehensible custo…Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)Defection Detection: Measurin…Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Benchmarking state-of-the-art…Customer Satisfaction Cues To Support Market Segmentation and Explain Switching Behavior (2000)Customer Satisfaction Cues To…Customer Churn Prediction Model Based on LSTM and CNN in Music Streaming (2019)Customer Churn Prediction Mod…Profit driven decision trees for churn prediction (2018)Profit driven decision trees …Neural network credit scoring models (2000)Credit scoring with a data mining approach based on support vector machines (2006)The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients (2008)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)Significance tests and goodness of fit in the analysis of covariance structures. (1980)A Conceptual Model of Service Quality and Its Implications for Future Research (1985)SERVQUAL: A multiple-Item Scale for measuring consumer perceptions of service quality (1988)Customer satisfaction and retention: the experiences of individual employees (2004)The relationships among perceived quality, perceived risk and perceived product value (2004)Investigating structural relationships between service quality, perceived value, satisfaction, and behavioral intentions for air passengers: Evidence from Taiwan (2008)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 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)Introduction to Data Mining (2007)Development and application of consumer credit scoring models using profit-based classification measures (2014)Improved churn prediction in telecommunication industry using data mining techniques (2014)Two-stage consumer credit risk modelling using heterogeneous ensemble learning (2019)Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques (2006)Credit card churn forecasting by logistic regression and decision tree (2011)Using Deep Learning To Predict Customer Churn In A Mobile Telecomunication Network (2016)Handling class imbalance in customer churn prediction (2008)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)The impact of big data and business analytics on supply chain management (2015)Recent developments of control charts, identification of big data sources and future trends of current research (2019)Why you should stop predicting customer churn and start using uplift models (2019)
this work references cited by second hop

References

  • 2003Benchmarking state-of-the-art classification algorithms for credit scoring903 cited
  • 2000Customer Satisfaction Cues To Support Market Segmentation and Explain Switching Behavior629 cited
  • 2006Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models574 cited
  • 2011New insights into churn prediction in the telecommunication sector: A profit driven data mining approach460 cited
  • 2010Building comprehensible customer churn prediction models with advanced rule induction techniques366 cited
  • 2012A Novel Profit Maximizing Metric for Measuring Classification Performance of Customer Churn Prediction Models177 cited
  • 2014Analytics In A Big Data World: The Essential Guide To Data Science And Its Applications154 cited

Cited by

  • 2019Customer Churn Prediction Model Based on LSTM and CNN in Music Streaming17 cited
  • 2018Profit driven decision trees for churn prediction13 cited

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