Results 91 to 100 of about 15,863 (207)
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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Wrapped feature selection for neural networks in direct marketing. [PDF]
In this paper, we try to validate existing theory on and develop additional insight into repeat purchasing behaviour in a direct-marketing setting by means of an illuminating case study.
Baesens, Bart +4 more
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Scientific ReportsFemale infertility is a prevalent condition closely linked with obesity. Current evaluation metrics like body mass index (BMI) and waist circumference (WC) have limitations.
Yiming Chen +4 more
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An Efficient Multi-set HPID3 Algorithm based on RFM Model
International Journal of Computer Applications, 2013 Data mining is a latest emerging technique, which is mainly used to inspect large database in order to discover hidden knowledge and information about customers’ behaviors. With the increasing contest in the retail industry, the main focus of superstore is to classify valuable customers accurately and quickly among the large volume of data.
Samidha Diwedi +2 more
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Modeling Repeat Purchases in the Internet when RFM Captures Past Influence of Marketing [PDF]
, 2011 Predicting online customer repeat purchase behavior by accounting for the marketing-mix plays an important role in a variety of empirical studies regarding individual customer relationship management.
Albers, Sönke, Reimer, Kerstin
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A Machine Learning Model for Local Market Prediction Using RFM Model
Elinvo (Electronics, Informatics, and Vocational Education)This study explores the application of machine learning for local market prediction in e-commerce. By leveraging the RFM segmentation method, the model predicts product sales based on user shopping patterns. The RFM score, calculated using recency, frequency, and monetary values of customer purchases, segments customers into distinct categories.
Muhammad Yahya +5 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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Customer Loyality Segmentation with RFM Model at PCP Cafe
Jurnal Ekonomika Dan Bisnis (JEBS)The intense competition in the business sector motivates every business unit to manage their services, especially towards their customers, to the fullest. One of them is to increase customer loyalty by segmenting or grouping each customer into several clusters and determining the appropriate marketing strategy for each of these groups.
Rahmadeni Rahmadeni, Jerry Heikal
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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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Segmenting Bank Customers via RFM Model and Unsupervised Machine Learning
, 2020 In recent years, one of the major challenges for financial institutions is the retention of their customers using new methodologies of reliable and profitable segmentation. In the field of banking, the approach of offering all of the services to all the existing customers at the same time does not always work. However, being aware of what to sell, when
Aliyev, Musadig +4 more
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