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COMPARATIVE STUDY OF FUZZY C-MEANS AND K-MEANS ALGORITHM FOR GROUPING CUSTOMER POTENTIAL IN BRAND LIMBACK
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COMPARATIVE STUDY OF FUZZY C-MEANS AND K-MEANS ALGORITHM FOR GROUPING CUSTOMER POTENTIAL IN BRAND LIMBACK (2021)COMPARATIVE STUDY OF FUZZY C-MEANS AND K-…Enhancing Customer Segmentation Insights by using RFM + Discount Proportion Model with Clustering Algorithms (2024)Enhancing Customer Segmentati…Analisis Loyalitas Pelanggan Business To Business Berdasarkan Model RFM Menggunakan Algoritma Fuzzy C-Means (2024)Analisis Loyalitas Pelanggan …Penerapan Algoritma Fuzzy C-Means Pada Segmentasi Pelanggan B2B dengan Model LRFM (2023)Penerapan Algoritma Fuzzy C-M…Analisis Segmentasi Recency dan Customer Value Pada AVANA Indonesia Dengan Algoritma K-Means dan Model RFM (Recency, Frequency and Monetary) (2023)Analisis Segmentasi Recency d…ANALISIS SEGMENTASI PELANGGAN MENGGUNAKAN KOMBINASI RFM MODEL DAN TEKNIK CLUSTERING (2018)The Driving Forces of Facebook Social Commerce (2018)Customer Segmentation Based on RFM Model Using K-Means, K-Medoids, and DBSCAN Methods (2020)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)Business-to-business e-commerce frameworks (2000)How COVID-19 has shaken the sharing economy? An analysis using Google trends data (2020)Repurchase intention of e-commerce customers in Indonesia: An overview of the effect of e-service quality, e-word of mouth, customer trust, and customer satisfaction mediation (2022)ANALISIS PEMILIHAN CLUSTER OPTIMAL DALAM SEGMENTASI PELANGGAN TOKO RETAIL (2021)Penerapan Algoritma K-Medoids Untuk Menentukan Segmentasi Pelanggan (2021)Customer Segmentation Analysis Through RFM-D Model and K-Means Algorithm (2025)The adaptive engagement framework: enhancing banking customer experience through AI-powered invisible marketing (2026)
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Cited by

  • 2024Enhancing Customer Segmentation Insights by using RFM + Discount Proportion Model with Clustering Algorithms11 cited
  • 2023Penerapan Algoritma Fuzzy C-Means Pada Segmentasi Pelanggan B2B dengan Model LRFM8 cited
  • 2023Analisis Segmentasi Recency dan Customer Value Pada AVANA Indonesia Dengan Algoritma K-Means dan Model RFM (Recency, Frequency and Monetary)6 cited
  • 2024Analisis Loyalitas Pelanggan Business To Business Berdasarkan Model RFM Menggunakan Algoritma Fuzzy C-Means5 cited

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