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APPLICATION OF MACHINE LEARNING FOR CHURN PREDICTION BASED ON TRANSACTIONAL DATA (RFM ANALYSIS)
4 references·0 citing·24 second hopsampled
APPLICATION OF MACHINE LEARNING FOR CHURN PREDICTION BASED ON TRANSACTIONAL DATA (RFM ANALYSIS) (2018)APPLICATION OF MACHINE LEARNING FOR CHURN…A data mining approach for modeling churn behavior via RFM model in specialized clinics Case study: A public sector hospital in Tehran (2017)A data mining approach for mo…An Efficient CRM-Data Mining Framework for the Prediction of Customer Behaviour (2015)An Efficient CRM-Data Mining …CRM strategies for a small-sized online shopping mall based on association rules and sequential patterns (2012)CRM strategies for a small-si…Estimating customer lifetime value based on RFM analysis of customer purchase behavior: Case study (2011)Estimating customer lifetime …Return on Marketing: Using Customer Equity to Focus Marketing Strategy (2003)Balancing Acquisition and Retention Resources to Maximize Customer Profitability (2004)Modeling Customer Lifetime Value (2006)Using data mining techniques for profiling profitable hotel customers: An application of RFM analysis (2016)Product substitution in different weights and brands considering customer segmentation and panic buying behavior (2018)Retail business analytics: Customer visit segmentation using market basket data (2018)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Customer Relationship Management: Emerging Practice, Process, and Discipline (2002)The influence of reviewer engagement characteristics on online review helpfulness: A text regression model (2014)Customer lifetime value determination based on RFM model (2016)A novel model for product bundling and direct marketing in e-commerce based on market segmentation (2017)Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management (2004)Application of data mining techniques in customer relationship management: A literature review and classification (2008)A data-driven approach to predict the success of bank telemarketing (2014)Effect of IoT Capabilities and Energy Consumption behavior on Green Supply Chain Integration (2018)AI-enabled Enterprise Information Systems for Manufacturing (2021)Customer Relationship Management Research from 2000 to 2020: An Academic Literature Review and Classification (2021)Optimal Selection for Direct Mail (1995)New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)Customer churn prediction in the telecommunication sector using a rough set approach (2016)Research on improved RFM customer segmentation model based on K-Means algorithm (2020)A novel deep learning model based on convolutional neural networks for employee churn prediction (2021)An Ensemble Model for Predicting Retail Banking Churn in the Youth Segment of Customers (2022)
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References

  • 2011Estimating customer lifetime value based on RFM analysis of customer purchase behavior: Case study182 cited
  • 2015An Efficient CRM-Data Mining Framework for the Prediction of Customer Behaviour118 cited
  • 2012CRM strategies for a small-sized online shopping mall based on association rules and sequential patterns84 cited
  • 2017A data mining approach for modeling churn behavior via RFM model in specialized clinics Case study: A public sector hospital in Tehran32 cited

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