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Clustering Interest Graphs for Customer Segmentation Problems
5 references·0 citing·25 second hop
Clustering Interest Graphs for Customer Segmentation Problems (2019)Clustering Interest Graphs for Customer S…Segmenting Users of an Online Store Using Data Mining Techniques (2019)Segmenting Users of an Online…Segmenting Retail Customers with an Enhanced RFM and a Hybrid Regression/Clustering Method (2018)Segmenting Retail Customers w…Customer segmentation of multiple category data in e-commerce using a soft-clustering approach (2010)Customer segmentation of mult…American consumers' attitudes towards commercial banks (2005)American consumers' attitudes…Segmentation of Bank Customers by Age (1985)Segmentation of Bank Customer…A Multistage Model of Customers' Assessments of Service Quality and Value (1991)Perceived service quality as a customer‐based performance measure: An empirical examination of organizational barriers using an extended service quality model (1991)Customer satisfaction and retail banking: an assessment of some of the key antecedents of customer satisfaction in retail banking (2002)Zip codes and spatial analysis: Problems and prospects (2007)The influence of e-word-of-mouth on travel decision-making: consumer profiles (2013)The theory of planned behaviour and student banking in Australia (2019)An evaluation of divergent perspectives on customer relationship management: Towards a common understanding of an emerging phenomenon (2004)A Strategic Framework for Customer Relationship Management (2005)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Market segmentation and travel choice prediction in Spa hotels through TripAdvisor’s online reviews (2019)Consumer Marketing Strategy and E-Commerce in the Last Decade: A Literature Review (2021)Artificial intelligence in E-Commerce: a bibliometric study and literature review (2022)Customer lifetime valuation to support marketing decision making (1997)Market Segmentation: Conceptual and Methodological Foundations (1997)Business Intelligence and Analytics: From Big Data to Big Impact (2012)K-Means Customers Clustering by their RFMT and Score Satisfaction Analysis (2022)Customer analytics for online retailers using weighted k-means and RFM analysis (2023)Effective customer segmentation using the recency, frequency, and monetary framework, combined with density-based clustering (2025)Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management (2004)Data Mining Techniques in CRM: Inside Customer Segmentation (2010)Data mining for the online retail industry: A case study of RFM model-based customer segmentation using data mining (2012)Customer Segmentation with RFM Model using Fuzzy C-Means and Genetic Programming (2023)A Two‐Step Estimation of Consumer Adoption of Technology‐Based Service Innovations (2003)The youth market for internet banking services: perceptions, attitude and behaviour (2010)Do switching barriers in the retail banking industry influence bank customers in different age groups differently? (2011)
this work references cited by second hop

References

  • 2010Customer segmentation of multiple category data in e-commerce using a soft-clustering approach160 cited
  • 2005American consumers' attitudes towards commercial banks83 cited
  • 1985Segmentation of Bank Customers by Age36 cited
  • 2018Segmenting Retail Customers with an Enhanced RFM and a Hybrid Regression/Clustering Method26 cited
  • 2019Segmenting Users of an Online Store Using Data Mining Techniques6 cited

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