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PENERAPAN METODE K-MEANS DENGAN METODE ELBOW UNTUK SEGMENTASI PELANGGAN MENGGUNAKAN MODEL RFM(Recency, Frequency, & Monetary)
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PENERAPAN METODE K-MEANS DENGAN METODE ELBOW UNTUK SEGMENTASI PELANGGAN MENGGUNAKAN MODEL RFM(Recency, Frequency, & Monetary) (2020)PENERAPAN METODE K-MEANS DENGAN METODE EL…RFM ranking – An effective approach to customer segmentation (2018)RFM ranking – An effective ap…Customer Segmentation using K-means Clustering (2018)Customer Segmentation using K…Customer Segmentation in XYZ Bank Using K-Means and K-Medoids Clustering (2018)Customer Segmentation in XYZ …Customer Segmentation based on RFM model and Clustering Techniques With K-Means Algorithm (2018)Customer Segmentation based o…Customer Segmentation and Strategy Development Based on User Behavior Analysis, RFM Model and Data Mining Techniques: A Case Study (2018)Customer Segmentation and Str…Survey of pre-processing techniques for mining big data (2017)Survey of pre-processing tech…Recent Development in Big Data Analytics for Business Operations and Risk Management (2016)Recent Development in Big Dat…A Two Phase Clustering Method for Intelligent Customer Segmentation (2010)A Two Phase Clustering Method…Market Segmentation: Conceptual and Methodological Foundations (1997)Customer Relationship Management: Emerging Practice, Process, and Discipline (2002)Classifying the segmentation of customer value via RFM model and RS theory (2008)Customer segmentation using centroid based and density based clustering algorithms (2017)Customers Segmentation in the Insurance Company (TIC) Dataset (2018)Portfolio Selection: Efficient Diversification of Investments (1959)Big data: The next frontier for innovation, competition, and productivity (2011)Big Data : The Management Revolution (2013)MACHINE LEARNING METHODS FOR SYSTEMIC RISK ANALYSIS IN FINANCIAL SECTORS (2019)Measuring social media influencer index- insights from facebook, Twitter and Instagram (2019)Machine Learning for Financial Risk Management: A Survey (2020)Big Data: A Survey (2014)Big data analytics for transportation: Problems and prospects for its application in China (2016)Mobile applications in context of big data: A survey (2016)Data cleansing mechanisms and approaches for big data analytics: a systematic study (2021)Cluster analysis using data mining approach to develop CRM methodology to assess the customer loyalty (2009)Data Mining Techniques in CRM: Inside Customer Segmentation (2010)Marketing strategies evaluation based on big data analysis: a CLUSTERING-MCDM approach (2019)A review of data mining methods in RFM-based customer segmentation (2021)How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation (2023)Customer segmentation and strategy development based on customer lifetime value: A case study (2005)Customer segmentation of multiple category data in e-commerce using a soft-clustering approach (2010)Customer Mobile Behavioral Segmentation and Analysis in Telecom Using Machine Learning (2022)Fast RFM Model for Customer Segmentation (2022)An Extended RFM Model for Customer Behaviour and Demographic Analysis in Retail Industry (2023)Performance evaluation of different customer segmentation approaches based on RFM and demographics analysis (2016)Clustering and profiling of customers using RFM for customer relationship management recommendations (2017)Clustering and Classification Based on Distributed Automatic Feature Engineering for Customer Segmentation (2021)Customer Segmentation Using Machine Learning Model: An Application of RFM Analysis (2023)Enhancing Segmentation: A Comparative Study of Clustering Methods (2025)RFM model for customer purchase behavior using K-Means algorithm (2019)B2C E-Commerce Customer Churn Prediction Based on K-Means and SVM (2022)A review on customer segmentation methods for personalized customer targeting in e-commerce use cases (2023)An Exploration of Clustering Algorithms for Customer Segmentation in the UK Retail Market (2023)Forecasting in financial accounting with artificial intelligence – A systematic literature review and future research agenda (2023)Deep Learning in Finance: A Survey of Applications and Techniques (2024)
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References

  • 2016Recent Development in Big Data Analytics for Business Operations and Risk Management280 cited
  • 2018RFM ranking – An effective approach to customer segmentation214 cited
  • 2018Customer Segmentation using K-means Clustering186 cited
  • 2010A Two Phase Clustering Method for Intelligent Customer Segmentation79 cited
  • 2018Customer Segmentation in XYZ Bank Using K-Means and K-Medoids Clustering73 cited
  • 2018Customer Segmentation and Strategy Development Based on User Behavior Analysis, RFM Model and Data Mining Techniques: A Case Study59 cited
  • 2017Survey of pre-processing techniques for mining big data47 cited
  • 2018Customer Segmentation based on RFM model and Clustering Techniques With K-Means Algorithm39 cited

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