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Clustering Algorithms and RFM Analysis Performed on Retail Transactions
5 references·2 citing·33 second hop
Clustering Algorithms and RFM Analysis Performed on Retail Transactions (2020)Clustering Algorithms and RFM Analysis Pe…Customer Clustering Using a Combination of Fuzzy C-Means and Genetic Algorithms (2016)Customer Clustering Using a C…Customer segmentation in a large database of an online customized fashion business (2015)Customer segmentation in a la…A decision-making framework for precision marketing (2014)A decision-making framework f…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…RFM and CLV: Using Iso-Value Curves for Customer Base Analysis (2005)RFM and CLV: Using Iso-Value …Analisis Loyalitas Pelanggan Business To Business Berdasarkan Model RFM Menggunakan Algoritma Fuzzy C-Means (2024)Analisis Loyalitas Pelanggan …Imperative role of customer segmentation technique for customer retention using machine learning techniques (2023)Imperative role of customer s…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)Product Differentiation and Market Segmentation as Alternative Marketing Strategies (1956)A Probabilistic Choice Model for Market Segmentation and Elasticity Structure (1989)Data Science and its Relationship to Big Data and Data-Driven Decision Making (2013)Hybrid soft computing approach based on clustering, rule mining, and decision tree analysis for customer segmentation problem: Real case of customer-centric industries (2018)A Detailed Review of Artificial Intelligence Applied in the Fashion and Apparel Industry (2019)Revealing customers’ satisfaction and preferences through online review analysis: The case of Canary Islands hotels (2019)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)Customer Metrics and Their Impact on Financial Performance (2006)Modeling Customer Lifetime Value (2006)Analytics for Customer Engagement (2010)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? Evidence from advertising in WeChat moments (2019)Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities (2020)LSTM with particle Swam optimization for sales forecasting (2022)The Competitive Advantage of Nations (1990)The Competitive Advantage of Nations (1991)Marketing management: analysis. planning. implementation and control (2000)Evaluating discounts as a dimension of customer behavior analysis (2017)Customer Segmentation and Profiling for Life Insurance using K-Modes Clustering and Decision Tree Classifier (2021)Customer Clustering and Marketing Optimization in Hospitality: A Hybrid Data Mining and Decision-Making Approach from an Emerging Economy (2025)A Framework for Understanding Corporate Social Responsibility Programs as a Continuum: An Exploratory Study (2006)From Strategy to Business Models and onto Tactics (2010)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)Using data mining techniques for profiling profitable hotel customers: An application of RFM analysis (2016)Data Mining Approach for Customer Segmentation in B2B Settings using Centroid-Based Clustering (2019)A review of data mining methods in RFM-based customer segmentation (2021)
this work references cited by second hop

References

  • 2005RFM and CLV: Using Iso-Value Curves for Customer Base Analysis595 cited
  • 2012Data mining for the online retail industry: A case study of RFM model-based customer segmentation using data mining252 cited
  • 2014A decision-making framework for precision marketing106 cited
  • 2015Customer segmentation in a large database of an online customized fashion business100 cited
  • 2016Customer Clustering Using a Combination of Fuzzy C-Means and Genetic Algorithms33 cited

Cited by

  • 2023Imperative role of customer segmentation technique for customer retention using machine learning techniques6 cited
  • 2024Analisis Loyalitas Pelanggan Business To Business Berdasarkan Model RFM Menggunakan Algoritma Fuzzy C-Means5 cited

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