Cargando…
Customer Analysis Using Machine Learning-Based Classification Algorithms for Effective Segmentation Using Recency, Frequency, Monetary, and Time
Customer segmentation has been a hot topic for decades, and the competition among businesses makes it more challenging. The recently introduced Recency, Frequency, Monetary, and Time (RFMT) model used an agglomerative algorithm for segmentation and a dendrogram for clustering, which solved the probl...
Autores principales: | Ullah, Asmat, Mohmand, Muhammad Ismail, Hussain, Hameed, Johar, Sumaira, Khan, Inayat, Ahmad, Shafiq, Mahmoud, Haitham A., Huda, Shamsul |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10059577/ https://www.ncbi.nlm.nih.gov/pubmed/36991889 http://dx.doi.org/10.3390/s23063180 |
Ejemplares similares
-
Pashto Handwritten Invariant Character Trajectory Prediction Using a Customized Deep Learning Technique
por: Khaliq, Fazli, et al.
Publicado: (2023) -
The contribution of stimulus frequency and recency to set-size effects
por: van ‘t Wout, Félice
Publicado: (2017) -
Long-Term Recency in Anterograde Amnesia
por: Talmi, Deborah, et al.
Publicado: (2015) -
The HIV Genomic Incidence Assay Meets False Recency Rate and Mean Duration of Recency Infection Performance Standards
por: Park, Sung Yong, et al.
Publicado: (2017) -
Primacy and recency effects as indices of the focus of attention
por: Morrison, Alexandra B., et al.
Publicado: (2014)