An Unsupervised Machine Learning Approach for the Identification of the Churn Behavior of Customers

dc.contributor.author	Prasanth, S.
dc.contributor.author	Rathnayaka, R. M. K. T.
dc.date.accessioned	2022-03-22T07:38:30Z
dc.date.available	2022-03-22T07:38:30Z
dc.date.issued	2019
dc.identifier.citation	RIRC - 2019 , Rajarata International Research Conference, Faculty of Applied Sciences	en_US
dc.identifier.issn	2235-9710
dc.identifier.uri	http://repository.rjt.ac.lk/handle/123456789/3857
dc.language.iso	en	en_US
dc.publisher	Rajarata University of Sri Lanka, Faculty of Applied Sciences	en_US
dc.subject	churn	en_US
dc.subject	Principal component Analysis (PCA)	en_US
dc.subject	K-Means clustering	en_US
dc.subject	Unsupervised Machine Learning	en_US
dc.title	An Unsupervised Machine Learning Approach for the Identification of the Churn Behavior of Customers	en_US
dc.type	Article	en_US