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Constraint Mining in Business Intelligence: A Case Study of Customer Churn Prediction
16 references·0 citing·54 second hop
Constraint Mining in Business Intelligence: A Case Study of Customer Churn Prediction (2013)Constraint Mining in Business Intelligenc…From information to operations (2011)From information to operationsBUSINESS INTELLIGENCE (BI) SUCCESS AND THE ROLE OF BI CAPABILITIES (2011)BUSINESS INTELLIGENCE (BI) SU…Beyond Customer Churn: Generating Personalized Actions to Retain Customers in a Retail Bank by a Recommender System Approach (2011)Beyond Customer Churn: Genera…An overview of business intelligence technology (2011)An overview of business intel…An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction (2011)An empirical evaluation of ro…Using PCA to Predict Customer Churn in Telecommunication Dataset (2010)Using PCA to Predict Customer…Ensembles of Probability Estimation Trees for Customer Churn Prediction (2010)Ensembles of Probability Esti…Building comprehensible customer churn prediction models with advanced rule induction techniques (2010)Building comprehensible custo…Handling class imbalance in customer churn prediction (2008)Handling class imbalance in c…ADTreesLogit model for customer churn prediction (2008)ADTreesLogit model for custom…Customer Churn Prediction Based on the Decision Tree in Personal Handyphone System Service (2007)Customer Churn Prediction Bas…Customer churn analysis - a case study (2006)Customer churn analysis - a c…Acquisition versus Retention: Competitive Customer Relationship Management (2006)Acquisition versus Retention:…Customer Churn Prediction Using Improved One-Class Support Vector Machine (2005)Customer Churn Prediction Usi…Genetic modelling of customer retention (1998)Genetic modelling of customer…Modelling customer retention with Rough Data Models (1997)Modelling customer retention …Improved statistical techniques for response modeling (1988)LEARNING FROM CUSTOMER DEFECTIONS (1996)Direct marketing modeling with CART and CHAID (1997)A Personalized Defection Detection and Prevention Procedure based on the Self-Organizing Map and Association Rule Mining: Applied to Online Game Site (2004)Churn prediction with Linear Discriminant Boosting algorithm (2008)Customer churn prediction for retail business (2017)Support vector machine for regression and applications to financial forecasting (2000)Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)Domain knowledge integration in data mining using decision tables: case studies in churn prediction (2009)An extended support vector machine forecasting framework for customer churn in e-commerce (2010)Propension to customer churn in a financial institution: a machine learning approach (2022)The Measurement of End-User Computing Satisfaction (1988)Develop Long-Term Competitiveness through IT Assets (1996)Antecedents of Information and System Quality: An Empirical Examination Within the Context of Data Warehousing (2005)Data lakes in business intelligence: reporting from the trenches (2018)Reconceptualizing information quality as effective use in the context of business intelligence and analytics (2019)The efficiency measurement of business intelligence systems in the big data-driven economy: a multidimensional model (2023)An overview of data warehousing and OLAP technology (1997)Big Data: A Survey (2014)Toward Scalable Systems for Big Data Analytics: A Technology Tutorial (2014)Debating big data: A literature review on realizing value from big data (2017)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)The Customer Relationship Management Process: Its Measurement and Impact on Performance (2004)A Strategic Framework for Customer Relationship Management (2005)Managing B2B customer churn, retention and profitability (2014)Social network analytics for churn prediction in telco: Model building, evaluation and network architecture (2017)A Survey on Churn Analysis in Various Business Domains (2020)Customer Switching Behavior in Service Industries: An Exploratory Study (1995)The Behavioral Consequences of Service Quality (1996)Design science in information systems research (2004)Applying behavioral economics in predictive analytics for B2B churn: Findings from service quality data (2017)An enhanced ensemble classifier for telecom churn prediction using cost based uplift modelling (2018)Customer Churn Prediction in Telecom Sector with Machine Learning and Information Gain Filter Feature Selection Algorithms (2021)Customer satisfaction, customer retention, and market share (1993)Understanding the Customer Base of Service Providers: An Examination of the Differences between Switchers and Stayers (2000)Customer churn prediction in the telecommunication sector using a rough set approach (2016)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)The loyalty effect: The hidden force behind growth, profits, and lasting value (1996)Do Customer Loyalty Programs Really Work (1997)Are customer satisfaction and customer loyalty drivers of customer lifetime value in mobile data services: a comparative cross-country study (2012)Customer Churn Prediction in Telecommunication A Decade Review and Classification (2013)Customer segmentation issues and strategies for an automobile dealership with two clustering techniques (2013)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Modeling Customer Lifetime Value (2006)Evaluating multiple classifiers for stock price direction prediction (2015)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)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)Determinants of subscriber churn and customer loyalty in the Korean mobile telephony market (2004)Applying data mining to telecom churn management (2005)A new feature set with new window techniques for customer churn prediction in land-line telecommunications (2009)Particle classification optimization-based BP network for telecommunication customer churn prediction (2016)Application of interpretable machine learning models for the intelligent decision (2018)
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References

  • 2011An overview of business intelligence technology763 cited
  • 2008Handling class imbalance in customer churn prediction552 cited
  • 2010Building comprehensible customer churn prediction models with advanced rule induction techniques366 cited
  • 2011An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction132 cited
  • 2011BUSINESS INTELLIGENCE (BI) SUCCESS AND THE ROLE OF BI CAPABILITIES113 cited
  • 2005Customer Churn Prediction Using Improved One-Class Support Vector Machine102 cited
  • 2007Customer Churn Prediction Based on the Decision Tree in Personal Handyphone System Service72 cited
  • 2008ADTreesLogit model for customer churn prediction45 cited
  • 2011From information to operations42 cited
  • 1998Genetic modelling of customer retention29 cited
  • 2006Customer churn analysis - a case study23 cited
  • 1997Modelling customer retention with Rough Data Models18 cited
  • 2006Acquisition versus Retention: Competitive Customer Relationship Management16 cited
  • 2010Ensembles of Probability Estimation Trees for Customer Churn Prediction12 cited
  • 2011Beyond Customer Churn: Generating Personalized Actions to Retain Customers in a Retail Bank by a Recommender System Approach

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11 cited
  • 2010Using PCA to Predict Customer Churn in Telecommunication Dataset9 cited
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