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ANALISIS SEGMENTASI PELANGGAN MENGGUNAKAN KOMBINASI RFM MODEL DAN TEKNIK CLUSTERING

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References

2009Cluster analysis using data mining approach to develop CRM methodology to assess the customer loyalty227 cited
2010A review of the application of RFM model155 cited
2016A Big Data Clustering Algorithm for Mitigating the Risk of Customer Churn118 cited
2011Data Mining Using RFM Analysis86 cited
2008A case study of applying data mining techniques in an outfitter’s customer value analysis64 cited

Cited by

2021Penerapan Algoritma K-Medoids Untuk Menentukan Segmentasi Pelanggan28 cited
2021ANALISIS PEMILIHAN CLUSTER OPTIMAL DALAM SEGMENTASI PELANGGAN TOKO RETAIL21 cited
2021Segmentasi Pelanggan Berdasarkan Analisis RFM Menggunakan Algoritma K-Means Sebagai Dasar Strategi Pemasaran (Studi Kasus PT Coversuper Indonesia Global)18 cited
2020Segmentasi Pelanggan Produk Digital Service Indihome Menggunakan Algoritma K-Means Berbasis Python14 cited
2019Customer segmentation using bisecting k-means algorithm based on recency, frequency, and monetary (RFM) model13 cited
2022Segmentasi Lokasi Promosi Penerimaan Mahasiswa Baru Menggunakan Metode RFM dan K-Means Clustering11 cited
2020Analisis Loyalitas Pelanggan Berbasis Model Recency, Frequency, dan Monetary (RFM) dan Decision Tree pada PT. Solo9 cited
2023Buku Ajar Komunikasi Pemasaran8 cited
2023

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Penerapan Algoritma Fuzzy C-Means Pada Segmentasi Pelanggan B2B dengan Model LRFM

8 cited

2020Segmentasi Pelanggan Toko Purnama dengan Algoritma K-Means dan Model RFM untuk Perancangan Strategi Pemasaran8 cited