Results 91 to 100 of about 3,753 (202)
Sensors, 2019 The rational function model (RFM) is widely used in the most advanced Earth observation satellites, replacing the rigorous imaging model. The RFM method achieves the desired calibration performance when image distortion is caused by long-period errors ...
Jun Chen +3 more
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Association between Relative Fat Mass and Cardiovascular Disease in Middle-aged and Elderly Population: a Cross-sectional and Longitudinal Study Based on CHARLS [PDF]
Zhongguo quanke yixueBackground In recent years, an association has been found between the relative fat mass (RFM) and cardiovascular disease (CVD) . However, nationwide cohort studies on RFM and the risk of CVD in the Chinese population are scant.
CHEN Huilong, LIAO Yunchu, LIU Yuwei, KONG Zhenghui, HUANG Xinghui, XU Jiahui, QI Na, WANG Yuanping, LIANG Wenjian
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Perbandingan Hasil Segmentasi Pelanggan dengan RFM Scoring dan RFM Based K-Means Clustering [PDF]
Analisis yang umum digunakan dalam pengelompokan pelanggan adalah analisis model Recency, Frequency, Monetary (RFM). Model ini memaparkan pelanggan berdasarkan interval waktu kunjungan terakhir pelanggan, frekuensi kunjungan, dan besaran nilai yang ...
Muliabanta, Natanael Hadi
core
Frontiers in NutritionBackgroundGallstones are a common gastrointestinal disease worldwide, associated with significant public health burdens. Obesity and fat distribution are recognized as major risk factors for gallstone formation, yet traditional anthropometric indices ...
Chaofeng Gao +3 more
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Customer segmentation using RFM analysis
, 2020 This paper is a research on the segmentation of customers. The clustering of customers is done based on the variables recency, frequency and monetary value. Such a clustering is called an RFM-model.
van Burg, J.M. (author)
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New Approach: Customer Segmentation using RFM Model and Demand Classification
This research introduces an integrated data mining framework that combines RFM (Recency, Frequency, Monetary) analysis with demand pattern classification—encompassing Smooth, Erratic, Intermittent, and Lumpy categories—to refine customer segmentation ...
Muhammad Fermi Pasha +2 more
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Remote Sensing, 2015 High-resolution stereo satellite imagery is widely used in environmental monitoring, topographic mapping, and urban three-dimensional (3D) reconstruction.
Zhonghua Hong +5 more
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ANALISIS REKOMENDASI PRODUK BERDASARKAN SEGMENTASI PELANGGAN DENGAN MODEL RFM MENGGUNAKAN ALGORITMA DBSCAN DAN FP-GROWTH [PDF]
, 2022 DEWI ANJAINAH (2022) : ANALISIS REKOMENDASI PRODUK BERDASARKAN SEGMENTASI PELANGGAN DENGAN MODEL RFM MENGGUNAKAN ALGORITMA DBSCAN DAN FP-GROWTH Swalayan 212 Mart merupakan bisnis ritel berlandaskan koperasi syariah yang sudah menerapkan strategi ...
DEWI ANJAINAH, -
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Modification of RFM model with Runs of shopping recency
, 2010 碩士現代企業資料庫中，往往擁有龐大的顧客交易資料以及顧客基本資料。為了從資料庫中瞭解顧客行為，目前業界最常使用的是簡單捕捉顧客行為模式的RFM模型，並利用RFM模型找出對企業貢獻度高的顧客，進而進行顧客關係管理。本研究以RFM模型為基礎，將消費頻率的分布情形與變動權重的概念導入，引用「連」(Run)的概念，將一般評估顧客指標的RFM模型加以修正。本文以廣義伽瑪分配模擬出顧客的交易時間，透過線性判別分析比較Hughes和Stone指標，以及本研究所提出的新指標法(S ...
陳慈慧; Chen, Tzu-hui
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RFM user value tags and XGBoost algorithm for analyzing electricity customer demand data
Systems and Soft ComputingWith the increasing demand for electricity, predicting user electricity demand has become an essential task. The electricity demand characteristics of users in the electricity market are different, so it is necessary to classify and predict users. Aiming
Zhu Tang, Yang Jiao, Mingmin Yuan
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