Results 91 to 100 of about 4,363 (216)

Exploring Customer Segmentation in E-Commerce using RFM Analysis with Clustering Techniques

The proliferation of big data and the growth of e-commerce have intensified the challenges associated with extracting actionable data for personalised recommendations and decision-making.
Haw, Su Cheng, Tong, Gee Kok, Wong, Chun Gee   +2 more
core   +1 more source

RFM analysis for customer segmentation using machine learning: a survey of a decade of research

, 2022
Customer segmentation is a method of categorizing corporate clients into groups based on shared characteristics. In this study, we looked at the different customer segmentation methods and execute RFM analysis by using various clustering algorithms ...
Jain, Sachin, Dharmik, R. C., Kamble, Ketan, Chavhan, Sushilkumar   +3 more
core  

Association of obesity-related anthropometric indicators with chronic constipation and diarrhea among U.S. adults: a cross-sectional study

Frontiers in Nutrition
AimPrior studies have linked obesity indicators to constipation/diarrhea, but multi-measure comparisons remain limited. We analyzed these associations in U.S.
Yu Ning, Xiaoting Hu, Laifu Li, Yan Zhuang, Fei Dai   +4 more
doaj   +1 more source

Relative fat mass is associated with vitamin D deficiency in individuals with diabetes: evidence from NHANES and a Chinese cohort

Frontiers in Endocrinology
PurposeRelative fat mass (RFM) is a new metric used for obesity assessment. We aim to investigate the association between RFM and vitamin D deficiency in patients with diabetes.MethodsA total of 5,128 participants with diabetes mellitus from the NHANES ...
Qichao Yang, Mengjiao Xu, Lu Qin, Xuejing Shao, Han Yan   +4 more
doaj   +1 more source

A geospatial model of RFM analysis: An application to tourism in the Iberian Peninsula

Procedia Computer Science, 2022
Itzcóatl Bueno, Jorge Velasco, Ramón Alberto Carrasco, Enrique Herrera-Viedma   +3 more
openaire   +1 more source

RFM-Net: A Convolutional Neural Network for Customer Segment Classification

Applied Sciences
Customer Segment Classification is a machine learning task in marketing analytics that involves assigning customers to predefined categories using features derived from historical transactional data.
Kadriye Filiz Balbal, Derya Birant
doaj   +1 more source

Fuzzy RFM Analysis in Car Rental Sector

International Journal of Technology and Engineering Studies, 2021
Onur Dogan, Basar Oztaysi, Aydeniz Isik
openaire   +1 more source

Association of relative fat mass with asthma: inflammatory markers as potential mediators

Lipids in Health and Disease
Background This study aimed to investigate the association between relative fat mass (RFM) and asthma, as well as to explore the mediating role of Systemic Immune-Inflammation Index (SII) and Systemic Inflammation Response Index (SIRI).
Meicen Zhou, Ting Zhang, Ziyi Zeng, Shuqin Zeng, Shaopu Wang, Hua Wang   +5 more
doaj   +1 more source

Restoring force model of a modular steel-concrete composite column

Case Studies in Construction Materials
The restoring force model (RFM) is the basis of elasto-plastic time-history analysis and forms a critical part of the seismic response analysis of structures. Based on the previous research results of a novel modular steel-concrete composite column, this
Yang Li, Mingchi Fan, Haitao Song, Chenglong Wu, Qi An, Xiujun Wang, Jie Ren   +6 more
doaj   +1 more source

Enhancing customer repurchase prediction: Integrating classification algorithms with RFM analysis for precision and actionable insights

IIMB Management Review
Accurate prediction of customer repurchase behaviour is vital for businesses aiming to boost customer retention. This study introduces an advanced approach that merges classification algorithms with RFM analysis, a widely adopted framework in customer ...
Rakesh Verma, Devesh Rathor, Saurabh Kumar, Mayank Mishra, Mayank Baranwal   +4 more
doaj   +1 more source