Adherence predictor variables in AIDS patients: an empirical study using the data mining-based RFM model [PDF]
AIDS Research and Therapy, 2021 Background Highly active antiretroviral therapy (ART) is still the only effective method to stop the disease progression in acquired immunodeficiency syndrome (AIDS) patients. However, poor adherence to the therapy makes it ineffective.
Min Li, Qunwei Wang, Yinzhong Shen
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IEEE Access, 2020 Nowadays, numerous earth-observation data are obtained from different kinds of platforms, in which data from synthetic aperture radar (SAR) sensors and optical sensors account for the vast majority.
Niangang Jiao, Feng Wang, Hongjian You
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A Fuzzy Linguistic RFM Model Applied to Campaign Management [PDF]
International Journal of Interactive Multimedia and Artificial Intelligence, 2019 In the literature there are some proposals for integrated schemes for campaign management based on segmentation from the results of the RFM model. RFM is a technique used to analyze customer behavior by means of three variables: Recency, Frequency and ...
Enrique Herrera-Viedma +3 more
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Association between relative fat mass and asthma risk in middle-aged and elderly Chinese population: a retrospective cohort study based on the CHARLS database [PDF]
BMC Public HealthObjective This study aims to clarify the potential association between Relative Fat Mass (RFM) and new-onset asthma. Methods A retrospective cohort study design was adopted, with data sourced from the China Health and Retirement Longitudinal Study ...
Yujia Liu, Rui Mao, Yuying Li
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Independent association between relative fat mass and total bone mineral density in U.S. adolescents: a cross-sectional study adjusting for Appendicular Lean Mass Index [PDF]
Scientific ReportsThe relationship between adiposity and bone health, often referred to as the “obesity paradox,” remains a subject of debate. Relative fat mass (RFM) has recently emerged as a more accurate surrogate for body fat percentage than the Body Mass Index (BMI).
Penghui Lv +5 more
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Customer clustering based on RFM- CPI model using data mining techniques [PDF]
International Journal of New Political Economy, 2022 Subject and purpose of the paper: the goal of this article is suggesting a new method for increasing the quality of customers clustering with increasing Customer Price Index (CPI) to monetary variable (M).Methodology: At this research, customers of one ...
Abdolmajid Imani +3 more
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Comparison of the RFM Model's Actual Value and Score Value for Clustering
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023 Clustering algorithms and Recency-Frequency-Money (RFM) models are widely implemented in various sectors of e-commerce, banking, telecommunications and other industries to obtain customer segmentation.
Samidi +2 more
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EVALUATION OF RATIONAL FUNCTION MODEL FOR GEOMETRIC MODELING OF CHANG'E-1 CCD IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Rational Function Model (RFM) is a generic geometric model that has been widely used in geometric processing of high-resolution earth-observation satellite images, due to its generality and excellent capability of fitting complex rigorous sensor models.
Y. Liu, K. Di
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Tržište, 2023 Purpose – This paper explores various supervised machine learning algorithms as an additional classification method to RFM (recency, frequency, and monetary) models with the aim of improving the accuracy in predicting target groups of customers for ...
Danijel Bratina, Armand Faganel
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COMPARISON OF THE LINEAR AND THE NON-LINEAR BLOCK ADJUSTMENT ON SATELLITE IMAGES RESEARCH [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 The Rational Function Model （RFM） is a non-linear model. Usually, the RFM-based satellite image block adjustment uses the Taylor series to expand error equations, and then solves the linear model.
C. Li, C. Chen, Z. Guo, Z. Guo, Q. Liu
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