LRFS: online shoppers’ behavior based efficient customer segmentation model

LRFS: online shoppers’ behavior based efficient customer segmentation model

This thesis is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science and Engineering, 2023.

Detalles Bibliográficos
Autor Principal: Khan, Riyo Hayat
Outros autores: Alam, Md. Golam Rabiul
Formato: Thesis
Idioma:English
Publicado: Brac University 2023
Subjects:
Customer segmentation
Unsupervised machine learning
K-Means
K-Medoids
DBSCAN
RFM analysis
LRFM analysis
Dimensionality reduction
PCA
t-SNE
Autoencoder
Deep learning
Google analytics
Customer relations > Management > Data processing
Machine learning
Cognitive learning theory
Acceso en liña:http://hdl.handle.net/10361/18680

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