SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
RFM Based Market Segmentation Approach Using Advanced K-means and Agglomerative Clustering: A Comparative Study
3 references·5 citing·31 second hop
RFM Based Market Segmentation Approach Using Advanced K-means and Agglomerative Clustering: A Comparative Study (2019)RFM Based Market Segmentation Approach Us…Using data mining techniques for profiling profitable hotel customers: An application of RFM analysis (2016)Using data mining techniques …Classifying the segmentation of customer value via RFM model and RS theory (2008)Classifying the segmentation …RFM and CLV: Using Iso-Value Curves for Customer Base Analysis (2005)RFM and CLV: Using Iso-Value …Comparison of K-Medoids and K-Means Algorithms in Segmenting Customers based on RFM Criteria (2024)Comparison of K-Medoids and K…Segmentasi Lokasi Promosi Penerimaan Mahasiswa Baru Menggunakan Metode RFM dan K-Means Clustering (2022)Segmentasi Lokasi Promosi Pen…Improving customer segmentation via classification of key accounts as outliers (2022)Improving customer segmentati…Behavioral Segmentation with Product Estimation using K-Means Clustering and Seasonal ARIMA (2022)Behavioral Segmentation with …Market segmentation for profit maximization using machine learning algorithms (2020)Market segmentation for profi…E-Business 2.0: Roadmap for Success (2000)Marketing management: analysis. planning. implementation and control (2000)Cluster analysis using data mining approach to develop CRM methodology to assess the customer loyalty (2009)Estimating customer lifetime value based on RFM analysis of customer purchase behavior: Case study (2011)Service innovation and customer satisfaction: the role of customer value creation (2017)Customer lifetime value: Marketing models and applications (1998)On the Profitability of Long-Life Customers in a Noncontractual Setting: An Empirical Investigation and Implications for Marketing (2000)The Impact of Customer Relationship Characteristics on Profitable Lifetime Duration (2003)Expanding the Role of Marketing: From Customer Equity to Market Capitalization (2009)Analytics for Customer Engagement (2010)Consumer Heterogeneity and Paid Search Effectiveness: A Large-Scale Field Experiment (2015)Tourism Destination Loyalty (2000)Qualitative research: Methods in the social sciences (2006)Temporal destination revisit intention: The effects of novelty seeking and satisfaction (2006)Performance evaluation of different customer segmentation approaches based on RFM and demographics analysis (2016)Comparison of supervised machine learning techniques for customer churn prediction based on analysis of customer behavior (2017)LRFMP model for customer segmentation in the grocery retail industry: a case study (2017)Customer Segmentation using K-means Clustering (2018)Intelligent Sales Prediction Using Machine Learning Techniques (2018)Machine-Learning Models for Sales Time Series Forecasting (2019)Analysis for Customer Lifetime Value Categorization with RFM Model (2019)Clustering optimization in RFM analysis Based on k-Means (2020)Tantangan dan Peluang Pendidikan Tinggi Dalam Masa dan Pasca Pandemi Covid-19 (2020)A Comparative Study and Analysis of Time Series Forecasting Techniques (2020)Integrated Churn Prediction and Customer Segmentation Framework for Telco Business (2021)A two-stage clustering method to analyze customer characteristics to build discriminative customer management: A case of textile manufacturing business (2010)Introduction to Data Science (2017)RFM ranking – An effective approach to customer segmentation (2018)Challenges of the digital landscape: An investigation into the influence of technology and information systems on financial performance of B2B key account managers (2025)Customer Segmentation in XYZ Bank Using K-Means and K-Medoids Clustering (2018)Segmentation Model of Customer Lifetime Value in Small and Medium Enterprise (SMEs) using K-Means Clustering and LRFM Model (2019)
this work references cited by second hop

References

  • 2005RFM and CLV: Using Iso-Value Curves for Customer Base Analysis595 cited
  • 2008Classifying the segmentation of customer value via RFM model and RS theory426 cited
  • 2016Using data mining techniques for profiling profitable hotel customers: An application of RFM analysis141 cited

Cited by

  • 2022Improving customer segmentation via classification of key accounts as outliers23 cited
  • 2022Behavioral Segmentation with Product Estimation using K-Means Clustering and Seasonal ARIMA13 cited
  • 2020Market segmentation for profit maximization using machine learning algorithms13 cited
  • 2024Comparison of K-Medoids and K-Means Algorithms in Segmenting Customers based on RFM Criteria11 cited
  • 2022Segmentasi Lokasi Promosi Penerimaan Mahasiswa Baru Menggunakan Metode RFM dan K-Means Clustering11 cited

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