Building segment based revenue prediction for CLV model

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