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pro vyhledávání: '"Catalin CIMPOERU"'
Autor:
Catalin CIMPOERU, Anca Ioana ANDREESCU
Publikováno v:
Informatică economică, Vol 18, Iss 3, Pp 5-16 (2014)
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 amo
Externí odkaz:
https://doaj.org/article/5a8cb8fc7027425f80d19ff3a1a96925
Autor:
Anca Ioana Andreescu, Catalin Cimpoeru
Publikováno v:
Informatică economică, Vol 18, Iss 3, Pp 5-16 (2014)
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 amo