IDEAS home Printed from
   My bibliography  Save this article

Classification Of European Union Countries From Data Mining Point Of View, Using Sas Enterprise Guide


  • Ana Maria Mihaela Iordache

    () (Romanian-American University)

  • Ionela Catalina Tudorache

    (Romanian-American University)

  • Mihai Tiberiu Iordache

    (IMSAT Bucharest)


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.

Suggested Citation

  • Ana Maria Mihaela Iordache & Ionela Catalina Tudorache & Mihai Tiberiu Iordache, 2011. "Classification Of European Union Countries From Data Mining Point Of View, Using Sas Enterprise Guide," Romanian Economic Business Review, Romanian-American University, vol. 5(2), pages 419-427, December.
  • Handle: RePEc:rau:journl:v:5:y:2011:i:2:p:419-427

    Download full text from publisher

    File URL:
    Download Restriction: no


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rau:journl:v:5:y:2011:i:2:p:419-427. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Alex Tabusca). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.