Predicting Customers Churn in a Relational Database

This paper explores how two main classical classification models work and generate predictions through a commercial solution of relational database management system (Microsoft SQL Server 2012). The aim of the paper is to accurately predict churn among a set of customers defined by various discrete...

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Bibliographic Details
Main Authors: Catalin CIMPOERU, Anca Ioana ANDREESCU
Format: Article
Language:English
Published: Inforec Association 2014-01-01
Series:Informatică economică
Subjects:
Online Access:http://revistaie.ase.ro/content/71/01%20-%20Cimpoeru,%20Andreescu.pdf