Improving the Reliability of Churn Predictions in Telecommunication Sector by Considering Customer Region
Author(s) -
Lian-Ying Zhou,
Louis K. Boateng,
Daniel M. Amoh,
Andrews A. Okine
Publication year - 2019
Publication title -
international journal of information technology and computer science
Language(s) - English
Resource type - Journals
eISSN - 2074-9015
pISSN - 2074-9007
DOI - 10.5815/ijitcs.2019.06.01
Subject(s) - churning , computer science , support vector machine , classifier (uml) , revenue , data mining , locality , reliability (semiconductor) , machine learning , artificial intelligence , power (physics) , physics , quantum mechanics , linguistics , philosophy , business , accounting , labour economics , economics
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