Telecommunication Customer Segmentation Based on the Profitability with a Novel Data Mining Approach

dc.contributor.author	Ameer, Sujah M.A.
dc.contributor.author	Kapila, R.M.
dc.contributor.author	Rathnayaka, Tharanga
dc.date.accessioned	2022-03-22T06:15:25Z
dc.date.available	2022-03-22T06:15:25Z
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/123456789/3852
dc.language.iso	en	en_US
dc.publisher	Rajarata University of Sri Lanka, Faculty of Applied Sciences	en_US
dc.subject	profitability	en_US
dc.subject	clustering	en_US
dc.subject	neural network	en_US
dc.subject	K-means	en_US
dc.title	Telecommunication Customer Segmentation Based on the Profitability with a Novel Data Mining Approach	en_US
dc.type	Article	en_US