CLASSIFICATION OF EUROPEAN UNION COUNTRIES FROM DATA MINING POINT OF VIEW, USING SAS ENTERPRISE GUIDE

Ana Maria Mihaela Iordache (), Ionela Catalina Tudorache and Mihai Tiberiu Iordache
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Ana Maria Mihaela Iordache: Romanian-American University
Ionela Catalina Tudorache: Romanian-American University
Mihai Tiberiu Iordache: IMSAT Bucharest

Journal of Information Systems & Operations Management, 2011, vol. 5, issue 2, 419-427

Abstract: With the development of computers and the increasing the amount of data it appeared the need of identifying new acquaintances, unknown until that moment in a relatively short time. The term of data mining involves the analysis of data from different views (aspects) in order to extract the knowledge to use them further in the foundation of decisions at microeconomic or macroeconomic levels. In this article we apply data analysis techniques such as principal component analysis and cluster analysis in order to group the countries of the European Union based on the financial indicators registered at the end of 2009 year.

Keywords: classification; cluster; data mining; European Union; financial indicators (search for similar items in EconPapers)
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:rau:jisomg:v:5:y:2011:i:2:p:419-427

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