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.

Dettagli Bibliografici
Autore principale: Khan, Riyo Hayat
Altri autori: Alam, Md. Golam Rabiul
Natura: Tesi
Lingua:English
Pubblicazione: Brac University 2023
Soggetti:
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
Accesso online:http://hdl.handle.net/10361/18680

Accesso online

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

Documenti analoghi