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.

Bibliografiset tiedot
Päätekijä: Khan, Riyo Hayat
Muut tekijät: Alam, Md. Golam Rabiul
Aineistotyyppi: Opinnäyte
Kieli:English
Julkaistu: Brac University 2023
Aiheet:
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
Linkit:http://hdl.handle.net/10361/18680

Internet

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

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