Results 81 to 90 of about 29,488 (189)
Scalable RFM-enriched Representation Learning for Churn Prediction [PDF]
Most of the recent studies on churn prediction in telco utilize social networks built on top of the call (and/or SMS) graphs to derive informative features. However, extracting features from large graphs, especially structural features, is an intricate process both from a methodological and computational perspective.
Mitrovic, Sandra +4 more
openaire +2 more sources
Analysis and Optimization of Customer Lifetime Value Prediction using Machine Learning and Deep Learning Models by RFM Techniques [PDF]
In today’s data-driven hospitality sector, customer interactions increasingly occur through digital platforms, generating extensive behavioral and transactional information. This study analyse the prediction of Customer Lifetime Value (CLV) using machine
Leila Taherkhani +3 more
doaj +1 more source
ABSTRACT Introduction Bronchiolitis is the leading cause of infant hospitalizations worldwide, primarily driven by respiratory syncytial virus (RSV). Methods This multicenter retrospective comparative study assessed the impact of immunoprophylaxis with nirsevimab against RSV on bronchiolitis‐related hospitalizations in Italy during the 2024–2025 winter
Sergio Ghirardo +28 more
wiley +1 more source
Retention of fetal membranes (RFM) in bovines not only lowers fertility and productivity but also leads to significant economic loss to the dairy farms. The present study compared peripartum progesterone, estradiol, cortisol, Prostaglandin F2 metabolite
R PATHAK +7 more
doaj +1 more source
Our findings highlight several positive associations between sociodemographic and lifestyle factors and both hair dye use and its adverse skin reactions. Notably, elevated BMI was consistently and significantly positively associated with both hair dye use and adverse skin reactions.
Fieke M. Rosenberg +5 more
wiley +1 more source
Biostimulants improve plant growth and have shown promise in agronomic applications and boosting crop yield. Because biostimulants typically present as a mixture of active components, new methods are required to characterize their mode of action. Here, we describe a novel assay that evaluates plant biostimulants targeting the brassinosteroid receptor ...
Maribel Marquina +9 more
wiley +1 more source
SCZ astrocytes display an increased pro‐inflammatory profile upon TNF‐α stimulation. Reactive SCZ astrocytes induce microglial‐like cells to assume a dystrophic phenotype. Reactive SCZ astrocytes limit iMGs' synaptoneurosome uptake and migration. ABSTRACT Neuroinflammation, particularly astrocyte reactivity, is increasingly linked to schizophrenia (SCZ)
Pablo L. Cardozo +18 more
wiley +1 more source
Bayesian neural network learning for repeat purchase modelling in direct marketing. [PDF]
We focus on purchase incidence modelling for a European direct mail company. Response models based on statistical and neural network techniques are contrasted.
Baesens, Bart +4 more
core
Data Mining Using RFM Analysis [PDF]
RFM stands for Recency, Frequency and Monetary value. RFM analysis is a marketing technique used for analyzing customer behavior such as how recently a customer has purchased (recency), how often the customer purchases (frequency), and how much the customer spends (monetary).
openaire +2 more sources
Discrete Fracture Model with Anisotropic Load Sharing
A two-dimensional fracture model where the interaction among elements is modeled by an anisotropic stress-transfer function is presented. The influence of anisotropy on the macroscopic properties of the samples is clarified, by interpolating between ...
Barthelemy M +6 more
core +1 more source

