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PENERAPAN FUZZY C-MEANS KLUSTER UNTUK SEGMENTASI PELANGGAN E-COMMERCE DENGAN METODE RECENCY FREQUENCY MONETARY (RFM)
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PENERAPAN FUZZY C-MEANS KLUSTER UNTUK SEGMENTASI PELANGGAN E-COMMERCE DENGAN METODE RECENCY FREQUENCY MONETARY (RFM) (2020)PENERAPAN FUZZY C-MEANS KLUSTER UNTUK SEG…Strategic Database Marketing: The Masterplan for Starting and Managing a Profitable, Customer-Based Marketing Program (1994)Strategic Database Marketing:…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…Customer Segmentation with RFM Model using Fuzzy C-Means and Genetic Programming (2023)Customer Segmentation with RF…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…K-Means Clustering Untuk Segmentasi Produk Berdasarkan Analisis Recency, Frequency, Monetary (RFM) Pada Data Transaksi Penjualan (2021)K-Means Clustering Untuk Segm…Classifying the segmentation of customer value via RFM model and RS theory (2008)A review of the application of RFM model (2010)Customer Segmentation Analysis Through RFM-D Model and K-Means Algorithm (2025)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)Customer Relationship Management (2012)The impact of the customer relationship management on the organization performance (2018)Customer relationship management and its impact on innovation: A literature review (2021)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)ANALISIS PEMILIHAN CLUSTER OPTIMAL DALAM SEGMENTASI PELANGGAN TOKO RETAIL (2021)Penerapan Algoritma K-Medoids Untuk Menentukan Segmentasi Pelanggan (2021)The adaptive engagement framework: enhancing banking customer experience through AI-powered invisible marketing (2026)Privacy Concerns and Consumer Willingness to Provide Personal Information (2000)How Customer Self-Determination Influences Relational Marketing Outcomes: Evidence from Longitudinal Field Studies (2006)Identifying influential reviewers for word-of-mouth marketing (2010)
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References

  • 1994Strategic Database Marketing: The Masterplan for Starting and Managing a Profitable, Customer-Based Marketing Program104 cited

Cited by

  • 2023Penerapan Algoritma Fuzzy C-Means Pada Segmentasi Pelanggan B2B dengan Model LRFM8 cited
  • 2021K-Means Clustering Untuk Segmentasi Produk Berdasarkan Analisis Recency, Frequency, Monetary (RFM) Pada Data Transaksi Penjualan8 cited
  • 2023Analisis Segmentasi Recency dan Customer Value Pada AVANA Indonesia Dengan Algoritma K-Means dan Model RFM (Recency, Frequency and Monetary)6 cited
  • 2023Customer Segmentation with RFM Model using Fuzzy C-Means and Genetic Programming5 cited
  • 2024Analisis Loyalitas Pelanggan Business To Business Berdasarkan Model RFM Menggunakan Algoritma Fuzzy C-Means5 cited

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