Results 121 to 130 of about 13,798,356 (215)

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, Fewie Rusly, Ronsen Purba   +2 more
core   +1 more source

Customer Segmentation Using an Extended RFM Model and Clustering Algorithms in E-Commerce

Journal of Theoretical and Applied Electronic Commerce Research
Customer segmentation is a critical step in the efficient utilization of customer data and maximization of profitability in the e-commerce sector.
Tuncay Ozcan
doaj   +1 more source

A Fuzzy Linguistic RFM Model Applied to Campaign Management

, 2018
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 Monetary value.
Carrasco González, Ramón Alberto, Blasco López, María Francisca   +1 more
openaire   +1 more source

Association between relative fat mass and obstructive sleep apnea and the potential mediating effect of hypertension: based on NHANES 2005-2008 and 2015-2018

Nutrition Journal
Background Obesity has been identified as one of the contributing factors to obstructive sleep apnea (OSA). The current obesity assessment indicators have poor ability to distinguish between fat and muscle.
Qizheng Guo, Weihang Xu, Changcong Wang, Muchen Xie, Zhuoxin Wu, Ning Zhang, Baorui Zhang, Dongmei Mu   +7 more
doaj   +1 more source

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)
core  

RFM analysis optimized [PDF]

, 2005
In the classic recency, frequency and monetary approach to market segmentation, i.e. RFM analysis, given a time frame, customers are clustered together into an arbitrary number of segments according to their most recent day of purchase, the number of ...
Schmitz, Eber Assis, Alencar, Antônio Juarez, Manso, Fernando Silva Pereira, Ferreira, Armando Leite, Lima, Priscila Machado Vieira, Ribeiro, Eduardo Martins   +5 more
core  

Ramadan fasting model modulates biomarkers of longevity and metabolism in male obese and non-obese rats

Scientific Reports
The health advantages of Ramadan fasting, a time-restricted eating from dawn to dusk, have garnered attention. Nevertheless, prior observational studies have found inconsistent findings because of challenges regulating variables such as sleep patterns ...
Abeer Abdallah Alasmari, Maha H. Alhussain, Abdulrahman Saleh Al-Khalifah, Noura Mohammed Alshiban, Rawan Alharthi, Nouf M. Alyami, Hesham S. Alodah, Mohammed F. Alahmed, Bayan A. Aljahdali, Ahmed S. BaHammam   +9 more
doaj   +1 more source

A New Perspective on RFM Analysis

, 2018
The aim of this chapter is proposing a novel integrated Fuzzy Group Multiple Attribute Decision Making (FGMADM) and Fuzzy C-Means Clustering (FCM) as a DM tool for segmentation of customers (retailers), based on an updated RFM model.
Mohammad Hasan Aghdaie, Parham Fami Tafreshi   +1 more
core   +1 more source

Database Marketing Tools for SMEs The case of RFM Model [PDF]

Advances in Intelligent Systems Research, 2014
Aquilino Costa, Andrea Sousa, João Lourenço, Carlos Silva, Maria Augusto, Teresa Guarda   +5 more
openaire   +1 more source

Body roundness index vs. Relative fat mass: associations with cardiovascular-kidney-metabolic syndrome in a cross-sectional study

Diabetology & Metabolic Syndrome
Background Research has indicated that the primary cause of cardiovascular-kidney-metabolic (CKM) syndrome is excess or dysfunctional adipose tissue.
Jun Qiu, Shishuang Jiang, Xiaohong Gou, Youlian Zhou   +3 more
doaj   +1 more source