Results 111 to 120 of about 13,798,376 (223)
Accurately quantifying the relative effects of climate change and human activities on soil carbon, nitrogen, and phosphorus in alpine grasslands and their feedback is an important aspect of global change, and high-precision models are the key to solving ...
Shaohua Wang +6 more
doaj +1 more source
Direct Policy Search for a Risk‐Based Levee Design Framework With Scenario Reduction
ABSTRACT Risk‐based management of coastal flood risk using realistic, process‐based models poses computational challenges, particularly when addressing uncertainties like sea‐level rise. This study explores the use of direct policy search (DPS) as a state‐dependent, adaptive decision‐making approach for upgrading levee systems.
Jingya Wang, David R. Johnson
wiley +1 more source
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 +2 more
core +1 more source
Customer Segmentation Using an Extended RFM Model and Clustering Algorithms in E-Commerce
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
Wittgenstein, Heidegger, and the Paradox of Ineffability
ABSTRACT Wittgenstein and Heidegger are often cited as the greatest philosophers of the 20th Century. However, they are often taken to be very different kinds of philosopher, foundational to very different kinds of philosophy. While Wittgenstein is listed as one of the founders of the analytic tradition, Heidegger is listed as one of the founders of ...
David Lindeman
wiley +1 more source
A Fuzzy Linguistic RFM Model Applied to Campaign Management
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 +1 more
openaire +1 more source
Optokinetic stimulation modulates vestibular contribution to postural control
Abstract figure legend Healthy young adults completed repeated standing balance trials while receiving stochastic vestibular stimulation (SVS) with or without optokinetic visual motion. Vestibular contributions to postural control were quantified from the frequency‐domain coupling between SVS and mediolateral ground reaction forces using coherence and ...
Antonio S. Pierre +4 more
wiley +1 more source
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 +7 more
doaj +1 more source
Customer segmentation using RFM analysis
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
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 +5 more
core

