Building segment based revenue prediction for CLV model

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dc.contributor.author Zorina, Kateryna
dc.date.accessioned 2019-02-20T08:45:16Z
dc.date.available 2019-02-20T08:45:16Z
dc.date.issued 2019
dc.identifier.citation Zorina, Kateryna. Building segment based revenue prediction for CLV model : Master Thesis : manuscript / Kateryna Zorina ; Supervisor Olexander Romanko ; Ukrainian Catholic University, Department of Computer Sciences. – Lviv : [s.n.], 2019. – 26 p. : ill. uk
dc.identifier.uri http://er.ucu.edu.ua/handle/1/1339
dc.language.iso en uk
dc.subject CLV model uk
dc.subject Clustering uk
dc.subject Segmentation uk
dc.title Building segment based revenue prediction for CLV model uk
dc.type Preprint uk
dc.status Публікується вперше uk
dc.description.abstracten This work presents part of customer lifetime value calculation project. Two tasks are described: dividing customers into segments and forecasting of future revenue. For both components, there are metrics to compare performance between different experiments. uk


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