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.

Detalhes bibliográficos
Autor principal:	Khan, Riyo Hayat
Outros Autores:	Alam, Md. Golam Rabiul
Formato:	Thesis
Idioma:	English
Publicado em:	Brac University 2023
Assuntos:	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
Acesso em linha:	http://hdl.handle.net/10361/18680

http://hdl.handle.net/10361/18680

Registos relacionados