References

• 2012A Customer Churn Prediction Model in Telecom Industry Using Boosting185 cited
• 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
• 2023Interpretable machine learning-based approach for customer segmentation for new product development from online product reviews114 cited
• 2021RFM-based repurchase behavior for customer classification and segmentation96 cited
• 2020Clustering optimization in RFM analysis Based on k-Means87 cited
• 2012CRM strategies for a small-sized online shopping mall based on association rules and sequential patterns84 cited
• 2008Improving Personalization Solutions through Optimal Segmentation of Customer Bases66 cited
• 2021Customer Segmentation using RFM Model and K-Means Clustering49 cited
• 2023New RFM-D classification model for improving customer analysis and response prediction42 cited
• 2018Customer Segmentation based on RFM model and Clustering Techniques With K-Means Algorithm39 cited
• 2016The Research and Application of Customer Segmentation on E-Commerce Websites36 cited
• 2021User Value Identification Based on Improved RFM Model and K‐Means++ Algorithm for Complex Data Analysis33 cited

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