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Deep customer segmentation with applications to a Vietnamese supermarkets’ data
10 references·4 citing·49 second hop
Deep customer segmentation with applications to a Vietnamese supermarkets’ data (2021)Deep customer segmentation with applicati…Customer relationship management and big data enabled: Personalization & customization of services (2018)Customer relationship managem…Analyzing Customer Journey with Process Mining: From Discovery to Recommendations (2018)Analyzing Customer Journey wi…A novel model for product bundling and direct marketing in e-commerce based on market segmentation (2017)A novel model for product bun…Examining the Impact of Multicollinearity in Discovering Higher-Order Factor Models (2014)Examining the Impact of Multi…Defining architecture components of the Big Data Ecosystem (2014)Defining architecture compone…A decision-making framework for precision marketing (2014)A decision-making framework f…Soft computing applications in customer segmentation: State-of-art review and critique (2013)Soft computing applications i…Data mining for the online retail industry: A case study of RFM model-based customer segmentation using data mining (2012)Data mining for the online re…Data Mining Techniques in CRM: Inside Customer Segmentation (2010)Data Mining Techniques in CRM…Book Review: The Challenge of Red China (1946)Book Review: The Challenge of…Discovering customer segments through interaction behaviors for home appliance business (2025)Discovering customer segments…Customer segmentation in the digital marketing using a Q-learning based differential evolution algorithm integrated with K-means clustering (2025)Customer segmentation in the …Network-based exploratory data analysis and explainable three-stage deep clustering for financial customer profiling (2023)Network-based exploratory dat…Analysis of Unsupervised Machine Learning Techniques for an Efficient Customer Segmentation using Clustering Ensemble and Spectral Clustering (2022)Analysis of Unsupervised Mach…Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Structural Equation Modeling and Regression: Guidelines for Research Practice (2000)Mail and internet surveys : the tailored design method (2007)Improving Organizational Performance Through the Use of Big Data (2018)Organizational capabilities that enable big data and predictive analytics diffusion and organizational performance (2018)Predictive HR analytics and talent management: a conceptual framework (2021)Customer Relationship Management: A Databased Approach (2005)RFM model for customer purchase behavior using K-Means algorithm (2019)RFM-based repurchase behavior for customer classification and segmentation (2021)Classifying the segmentation of customer value via RFM model and RS theory (2008)Application of decision-making techniques in supplier selection: A systematic review of literature (2012)Interval-valued hesitant fuzzy linguistic sets and their applications in multi-criteria decision-making problems (2014)Can data-driven precision marketing promote user ad clicks? 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References

  • 2014Defining architecture components of the Big Data Ecosystem415 cited
  • 2018Customer relationship management and big data enabled: Personalization & customization of services408 cited
  • 2012Data mining for the online retail industry: A case study of RFM model-based customer segmentation using data mining252 cited
  • 2010Data Mining Techniques in CRM: Inside Customer Segmentation207 cited
  • 2014Examining the Impact of Multicollinearity in Discovering Higher-Order Factor Models183 cited
  • 1946Book Review: The Challenge of Red China147 cited
  • 2014A decision-making framework for precision marketing106 cited
  • 2013Soft computing applications in customer segmentation: State-of-art review and critique86 cited
  • 2018Analyzing Customer Journey with Process Mining: From Discovery to Recommendations66 cited
  • 2017A novel model for product bundling and direct marketing in e-commerce based on market segmentation48 cited

Cited by

  • 2025Customer segmentation in the digital marketing using a Q-learning based differential evolution algorithm integrated with K-means clustering27 cited
  • 2022Analysis of Unsupervised Machine Learning Techniques for an Efficient Customer Segmentation using Clustering Ensemble and Spectral Clustering27 cited
  • 2023Network-based exploratory data analysis and explainable three-stage deep clustering for financial customer profiling15 cited

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  • 2025Discovering customer segments through interaction behaviors for home appliance business14 cited