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Predicting customer lifetime value in Pakistan's retail and ecommerce sector using machine learning and neural network

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Material type: Text

TextPublication details: Islamabad (unpublished) 2026Description: vii, 99 p. : ill. ; 30 cm. +CDSubject(s):

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Dissertation note: Thesis (MS)--Riphah International University, 2026

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Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Thesis	Al-Mizan Campus	658.4038 KIN (Browse shelf(Opens below))	1	Not for loan		101057

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Previous	658.4038 JAW Knowledge management	658.4038 JOH Availability management	658.4038 KHA An integrated framework employing supervised learning algorithms and neural networks for predicting employee promotion in the IT sector of Pakistan	658.4038 KIN Predicting customer lifetime value in Pakistan's retail and ecommerce sector using machine learning and neural network	658.4038 KNO Knowledge engineering and management	658.4038 LAU Management information systems	658.4038 LAU Management information systems	Next

Submitted in partial fulfillment of the requirements for the degree of Master of Science in Business Analytics to the Faculty of Management Sciences.

Includes bibliographical references and appendix

Thesis supervisor: Mr. Mudassar Naseem

Thesis (MS)--Riphah International University, 2026

English

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