Results 101 to 110 of about 7,770 (222)
Frontiers in NutritionObjectiveTo investigate the relationship between relative fat mass (RFM) and low-carbohydrate diet (LCD) scores and sleep disorders in the U.S. population.MethodsData were collected from the National Health and Nutrition Examination Survey (NHANES ...
Cheng Cao +6 more
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A NEW OPTIMIZED RFM OF HIGH-RESOLUTION SATELLITE IMAGERY
, 2016 Over-parameterization and over-correction are two of the major problems in the rational function model (RFM). A new approach of optimized RFM (ORFM) is proposed in this paper.
X. J. Liu, C. Li, T. Deng
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Association between relative fat mass and cognitive function among US older men: NHANES 2011–2014
Lipids in Health and DiseaseBackground Relative fat mass (RFM) is a new metric developed to assess the entire body fat proportion in adults. The objective of this study was to examine the correlation between cognitive performance and RFM in older American males.
Linlin Liu, Anshi Wu, Shengnan Yang
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Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)An effective educational marketing strategy requires accurate school segmentation to enhance new student recruitment. Traditional segmentation methods such as K-means are often used, but they have limitations in capturing the flexibility of school ...
Rizal Bakri +4 more
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Data Mining Using RFM Analysis [PDF]
, 2011 RFM stands for Recency, Frequency and Monetary value. RFM analysis is a marketing technique used for analyzing customer behavior such as how recently a customer has purchased (recency), how often the customer purchases (frequency), and how much the customer spends (monetary).
openaire +1 more source
RFM analysis of an e-commerce store selling men's accesories
, 2015 This bachelor's thesis focuses on a RFM analysis and its usage in relationship marketing in the online world. It puts RFM analysis in the context of a marketing mix and also the historical development of marketing conceptions.
Králíček, Pavel
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RECYCLING PROJECT WITH RFM ANALYSIS IN INDUSTRIAL MATERIAL SECTOR
, 2020 With the advancement of technology and the widespread use of the Internet, the concept of big data, which we are often beginning to hear its name, has emerged. Big data can be briefly defined as an unstructured data stack.
Akca, Esra, Erpolat Tasabat, Semra
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Veterinary Sciences(1) Background: Retained fetal membranes (RFM) in cattle negatively impact reproduction, calving intervals, and health. This study examined OS markers and fatty acid profiles in Romanian Spotted cattle, comparing cows with normal parturition to those ...
Sanda Andrei +7 more
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Randomized Fixed Model (RFM) Methodology for Genome-Wide Association Study [PDF]
, 2018 The state of the art GWAS under the linear mixed model framework, although vastly improved, still suffers from high computational cost and type I error rate. Approaches like EMMA (Kanget al.
Sigdel, Sakar
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Customers Segmentation Using RFM and Two-Step Clustering
, 2011 Analyze RFM (recency, frequency, and monetary) paradigm with customer, and use two-step clustering to segment the customers. It is divided into five levels includes core customer, potential customer, new customer, worthless customer and lost customer ...
Jian Ying Xiong, Lei Yue Yao
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