Machine learning for predicting cross-buying likelihood: A case study on entertainment service customers

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Journal Title

Journal ISSN

Volume Title

School of Business | Master's thesis

Date

2023

Major/Subject

Mcode

Degree programme

Information and Service Management (ISM)

Language

en

Pages

60

Series

Description

Thesis advisor

Back, Philipp

Keywords

machine learning, data mining, predictive analytics, consumer buying behavior, consumer buying prediction, consumer behavior prediction

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Citation