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Application of K-Means Algorithm for Efficient Customer Segmentation: A Strategy for Targeted Customer Services
2 references·11 citing·38 second hop
Application of K-Means Algorithm for Efficient Customer Segmentation: A Strategy for Targeted Customer Services (2015)Application of K-Means Algorithm for Effi…The basis of market segmentation: a critical review of literature (2011)The basis of market segmentat…Big data: The next frontier for innovation, competition, and productivity (2011)Big data: The next frontier f…Discovering customer segments through interaction behaviors for home appliance business (2025)Discovering customer segments…Data-Driven Customer Segmentation Using Clustering Methods for Business Success (2023)Data-Driven Customer Segmenta…Customer Segmentation of Shopping Mall Users Using K-Means Clustering (2022)Customer Segmentation of Shop…Customer Mobile Behavioral Segmentation and Analysis in Telecom Using Machine Learning (2022)Customer Mobile Behavioral Se…Automatic and Adaptive Segmentation of Customer in R framework using K-means Clustering Technique (2022)Automatic and Adaptive Segmen…Geo-Marketing Segmentation with Deep Learning (2021)Geo-Marketing Segmentation wi…Customer Segmentation Using Machine Learning (2021)Customer Segmentation Using M…A Survey on Customer Segmentation using Machine Learning Algorithms to Find Prospective Clients (2021)A Survey on Customer Segmenta…Using Unsupervised Machine Learning Techniques for Behavioral-based Credit Card Users Segmentation in Africa (2020)Using Unsupervised Machine Le…Knowledge Discovery based Framework for Enhancing the House of Quality (2019)Knowledge Discovery based Fra…Survey of machine learning methods for big data applications (2017)Survey of machine learning me…Beyond the hype: Big data concepts, methods, and analytics (2014)Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)Deep learning applications and challenges in big data analytics (2015)What is the Analytic Hierarchy Process? (1988)Approaches to Clustering in Customer Segmentation (2018)The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution (2018)Analysis of Unsupervised Machine Learning Techniques for an Efficient Customer Segmentation using Clustering Ensemble and Spectral Clustering (2022)Financial revolution: a systemic analysis of artificial intelligence and machine learning in the banking sector (2023)Data-driven strategies for digital native market segmentation using clustering (2024)Industrial market segmentation (1974)Segmenting the industrial market (1983)Manual of Digital Earth (2019)A deep learning approach for estimation of price determinants (2022)Enhancing Customer Segmentation Through Factor Analysis of Mixed Data (FAMD)-Based Approach Using K-Means and Hierarchical Clustering Algorithms (2025)Customer Segmentation Using Clustering and Data Mining Techniques (2013)Customer Segmentation using K-means Clustering (2018)Consumer preference analysis on the attributes of samgyeopsal Korean cuisine and its market segmentation: Integrating conjoint analysis and K-means clustering (2023)Customer portfolio management (CPM) for improved customer relationship management (CRM): Are your customers platinum, gold, silver, or bronze? (2016)Customer Analysis Using Machine Learning-Based Classification Algorithms for Effective Segmentation Using Recency, Frequency, Monetary, and Time (2023)Hyper-Personalization for Enhancing Customer Loyalty and Satisfaction in Customer Relationship Management (CRM) Systems (2023)A Novel 3D Clustering Algorithm for Customer Segmentation (2024)Mobile customer segmentation based on smartphone measurement (2013)RFM ranking – An effective approach to customer segmentation (2018)RFM model for customer purchase behavior using K-Means algorithm (2019)Psychographic and demographic segmentation and customer profiling in mobile fintech services (2023)A neural network-based predictive decision model for customer retention in the telecommunication sector (2024)Implementing machine learning techniques for customer retention and churn prediction in telecommunications (2024)Does deep learning help topic extraction? A kernel k-means clustering method with word embedding (2018)A comparative dimensionality reduction study in telecom customer segmentation using deep learning and PCA (2020)Network-based exploratory data analysis and explainable three-stage deep clustering for financial customer profiling (2023)Product Differentiation and Market Segmentation as Alternative Marketing Strategies (1956)THE APPLICATION OF CLUSTER ANALYSIS IN STRATEGIC MANAGEMENT RESEARCH: AN ANALYSIS AND CRITIQUE (1996)What Makes a Helpful Online Review? A Study of Customer Reviews on Amazon.Com1 (2010)Effective customer segmentation using the recency, frequency, and monetary framework, combined with density-based clustering (2025)Big Data: A Survey (2014)Soft computing applications in customer segmentation: State-of-art review and critique (2013)Luxe for Less (2015)Segmenting Retail Customers with an Enhanced RFM and a Hybrid Regression/Clustering Method (2018)
this work references cited by second hop

References

  • 2011Big data: The next frontier for innovation, competition, and productivity5,202 cited
  • 2011The basis of market segmentation: a critical review of literature141 cited

Cited by

  • 2021Customer Segmentation Using Machine Learning45 cited
  • 2020Using Unsupervised Machine Learning Techniques for Behavioral-based Credit Card Users Segmentation in Africa34 cited
  • 2022Customer Mobile Behavioral Segmentation and Analysis in Telecom Using Machine Learning28 cited
  • 2021Geo-Marketing Segmentation with Deep Learning22 cited
  • 2022Automatic and Adaptive Segmentation of Customer in R framework using K-means Clustering Technique20 cited
  • 2021A Survey on Customer Segmentation using Machine Learning Algorithms to Find Prospective Clients15 cited
  • 2017Survey of machine learning methods for big data applications14 cited
  • 2025Discovering customer segments through interaction behaviors for home appliance business14 cited
  • 2022Customer Segmentation of Shopping Mall Users Using K-Means Clustering14 cited
  • 2019Knowledge Discovery based Framework for Enhancing the House of Quality13 cited
  • 2023Data-Driven Customer Segmentation Using Clustering Methods for Business Success11 cited

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