Literature Review Analisis Perilaku Pelanggan Menggunakan RFM Model
Abstract— Data is an asset for every company, especially Customer Data. Processing of customer data hereinafter can be referred to as Data Mining. The current tight competition in the industry makes companies have to be careful in processing their customer data, one of which is processing customer data for CRM operations.
Rukmi Sari Hartati +2 more
openaire +1 more source
To investigate the restoring force model (RFM) for a novel type of precast beam-to-column joints using a mechanical connection (PBCJ-MCs), the low-cycle cyclic loading test of three PBCJ-MCs was first performed in this article.
Mei-Ling Zhuang +9 more
doaj +1 more source
Generative Models in Inorganic Crystals Discovery and Inverse Design
Generative inverse‐design samples from the vast inorganic crystal design space by starting from target properties such as band gap, stability, and ion transport. This Review examines the representations, generative models, and validation workflows needed to translate candidate structures into stable, potentially synthesizable materials for applications
Tao Li +5 more
wiley +1 more source
Oligogenic inheritance in epilepsy: A systematic exome‐wide analysis
Abstract Objective Genetic factors contribute to the majority of epilepsies, but the exact genetic cause remains unknown in most patients. Incomplete penetrance and variable expressivity are frequent, and recent studies showed a burden of deleterious variants in epilepsy genes, suggesting a role for oligogenic inheritance.
Sarah Duerinckx +192 more
wiley +1 more source
Improving the direct marketing practices of FMCG retailers through better customer selection. An empirical study comparing the effectiveness of RFM (Recency, Freuency and Monetary) CHAID (Chi-squared Automatic Interaction Detection), stepwise logit (logistic regression) and ANN (Artificial Neural Networks) techniques using different data variable depths [PDF]
The intent of this thesis is to understand Data Mining technique effectiveness in both shallow (RFM variable only) and expanded data environments.
Di Tullio, Ian
core +2 more sources
Background Relative fat mass (RFM) is a newly developed, sex-specific anthropometric formula designed to estimate total body fat percentage. However, research investigating the correlation between RFM and the risk of non-alcoholic fatty liver disease ...
Changchun Cao +5 more
doaj +1 more source
Restoring force model of a modular steel-concrete composite column
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 +6 more
doaj +1 more source
Abstract Objective A multi‐electrode array (MEA) is a powerful extracellular recording technique for long‐term monitoring of neuronal network activity. In recent years, MEA‐based assays have been applied increasingly to evaluate drug efficacy and neurotoxicity, including the assessment of anti‐seizure medications (ASMs). However, systematic comparisons
Griselda Marku +4 more
wiley +1 more source
RFM-Net: A Convolutional Neural Network for Customer Segment Classification
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
LRFMV: An efficient customer segmentation model for superstores.
The Recency, Frequency, and Monetary model, also known as the RFM model, is a popular and widely used business model for determining beneficial client segments and analyzing profit.
Rezwana Mahfuza +5 more
doaj +1 more source

