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.

Bibliographische Detailangaben
1. Verfasser: Khan, Riyo Hayat
Weitere Verfasser: Alam, Md. Golam Rabiul
Format: Abschlussarbeit
Sprache:English
Veröffentlicht: Brac University 2023
Schlagworte:
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
Online Zugang:http://hdl.handle.net/10361/18680

Online

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

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