SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Analysis of DBSCAN and K-means algorithm for evaluating outlier on RFM model of customer behaviour
5 references·3 citing·33 second hop
Analysis of DBSCAN and K-means algorithm for evaluating outlier on RFM model of customer behaviour (2019)Analysis of DBSCAN and K-means algorithm …The Research and Application of Customer Segmentation on E-Commerce Websites (2016)The Research and Application …A Two-Phase Clustering Analysis for B2B Customer Segmentation (2014)A Two-Phase Clustering Analys…Estimating customer lifetime value based on RFM analysis of customer purchase behavior: Case study (2011)Estimating customer lifetime …Customer portfolio analysis using the SOM (2011)Customer portfolio analysis u…Cluster analysis using data mining approach to develop CRM methodology to assess the customer loyalty (2009)Cluster analysis using data m…Customer segmentation with RFM models and demographic variable using DBSCAN algorithm (2023)Customer segmentation with RF…Who Donates on Line? Segmentation Analysis and Marketing Strategies Based on Machine Learning for Online Charitable Donations in Taiwan (2021)Who Donates on Line? Segmenta…Spatial Clustering Based on Analysis of Big Data in Digital Marketing (2019)Spatial Clustering Based on A…Customer Relationship Management: Emerging Practice, Process, and Discipline (2002)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Business Research Methods and Statistics Using SPSS (2008)A Preliminary Study of Fintech Industry: A Two-Stage Clustering Analysis for Customer Segmentation in the B2B Setting (2019)Segmentation Model of Customer Lifetime Value in Small and Medium Enterprise (SMEs) using K-Means Clustering and LRFM Model (2019)Distributed clustering using multi-tier hierarchical overlay super-peer peer-to-peer network architecture for efficient customer segmentation (2021)Market Segmentation: Conceptual and Methodological Foundations (1997)Data preparation for data mining (1999)Combining Unsupervised and Supervised Data Mining Techniques for Conducting Customer Portfolio Analysis (2010)Next-Purchase Prediction Using Projections of Discounted Purchasing Sequences (2017)Geo-Marketing Segmentation with Deep Learning (2021)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)The loyalty effect: The hidden force behind growth, profits, and lasting value (1996)Customer Value, Satisfaction, Loyalty, and Switching Costs: An Illustration From a Business-to-Business Service Context (2004)Classifying the segmentation of customer value via RFM model and RS theory (2008)A review of the application of RFM model (2010)Customer relationship management mechanisms: A systematic review of the state of the art literature and recommendations for future research (2016)Research on the influence of after-sales service quality factors on customer satisfaction (2020)Attractive Quality and Must-Be Quality (1984)Strategic database marketing (1994)“Counting Your Customers” the Easy Way: An Alternative to the Pareto/NBD Model (2005)Research and Application of Improved Clustering Algorithm in Retail Customer Classification (2021)Customer Segmentation Using Machine Learning Model: An Application of RFM Analysis (2023)Retail Industry Analytics: Unraveling Consumer Behavior through RFM Segmentation and Machine Learning (2024)A Customer Lifetime Value Framework for Customer Selection and Resource Allocation Strategy (2004)Who gives? A literature review of predictors of charitable giving Part One: Religion, education, age and socialisation (2011)Market Segmentation: A Review (1987)Customer Segmentation For Digital Marketing Based on Shopping Patterns (2024)
this work references cited by second hop

References

  • 2009Cluster analysis using data mining approach to develop CRM methodology to assess the customer loyalty227 cited
  • 2011Estimating customer lifetime value based on RFM analysis of customer purchase behavior: Case study182 cited
  • 2014A Two-Phase Clustering Analysis for B2B Customer Segmentation38 cited
  • 2016The Research and Application of Customer Segmentation on E-Commerce Websites36 cited
  • 2011Customer portfolio analysis using the SOM25 cited

Cited by

  • 2021Who Donates on Line? Segmentation Analysis and Marketing Strategies Based on Machine Learning for Online Charitable Donations in Taiwan19 cited
  • 2023Customer segmentation with RFM models and demographic variable using DBSCAN algorithm15 cited
  • 2019Spatial Clustering Based on Analysis of Big Data in Digital Marketing6 cited

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