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Customer segmentation with RFM models and demographic variable using DBSCAN algorithm
16 references·0 citing·48 second hop
Customer segmentation with RFM models and demographic variable using DBSCAN algorithm (2023)Customer segmentation with RFM models and…Interpretable machine learning-based approach for customer segmentation for new product development from online product reviews (2023)Interpretable machine learnin…RFM-based repurchase behavior for customer classification and segmentation (2021)RFM-based repurchase behavior…Customer segmentation by web content mining (2021)Customer segmentation by web …An analytical framework based on the recency, frequency, and monetary model and time series clustering techniques for dynamic segmentation (2021)An analytical framework based…Customer Segmentation Based on RFM Model Using K-Means, K-Medoids, and DBSCAN Methods (2020)Customer Segmentation Based o…Analysis of DBSCAN and K-means algorithm for evaluating outlier on RFM model of customer behaviour (2019)Analysis of DBSCAN and K-mean…A comparison between Fuzzy Linguistic RFM Model and traditional RFM model applied to Campaign Management. Case study of retail business. 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(2002)The asymmetric relationship between attribute-level performance and overall customer satisfaction: a reconsideration of the importance–performance analysis (2003)How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation (2023)Determining directions of service quality management using online review mining with interpretable machine learning (2024)Predictive analytics in customer behavior: Anticipating trends and preferences (2024)RFM model for customer purchase behavior using K-Means algorithm (2019)B2C E-Commerce Customer Churn Prediction Based on K-Means and SVM (2022)A review on customer segmentation methods for personalized customer targeting in e-commerce use cases (2023)
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References

  • 2008Application of data mining techniques in customer relationship management: A literature review and classification1,267 cited
  • 2008Classifying the segmentation of customer value via RFM model and RS theory426 cited
  • 1987Market Segmentation: A Review384 cited
  • 2009Cluster analysis using data mining approach to develop CRM methodology to assess the customer loyalty227 cited
  • 2018RFM ranking – An effective approach to customer segmentation214 cited
  • 2010A review of the application of RFM model155 cited
  • 2016Using data mining techniques for profiling profitable hotel customers: An application of RFM analysis141 cited
  • 2023Interpretable machine learning-based approach for customer segmentation for new product development from online product reviews114 cited
  • 2013Customer relationship management in the hairdressing industry: An application of data mining techniques111 cited
  • 2016Performance evaluation of different customer segmentation approaches based on RFM and demographics analysis105 cited
  • 2021RFM-based repurchase behavior for customer classification and segmentation96 cited
  • 2021Customer segmentation by web content mining64 cited
  • 2020Customer Segmentation Based on RFM Model Using K-Means, K-Medoids, and DBSCAN Methods52 cited
  • 2021An analytical framework based on the recency, frequency, and monetary model and time series clustering techniques for dynamic segmentation

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42 cited
  • 2019Analysis of DBSCAN and K-means algorithm for evaluating outlier on RFM model of customer behaviour23 cited
  • 2019A comparison between Fuzzy Linguistic RFM Model and traditional RFM model applied to Campaign Management. Case study of retail business.17 cited
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