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Clustering The Companies From The Real Estate Field Of Activity From Romania, Using Statistical Analysis System And The R Program

Listed author(s):
  • Ionela-Catalina Tudorache

    (School of Computer Science for Business Management, Romanian - American University, Bucharest)

  • Ana-Maria Mihaela Iordache

    (School of Computer Science for Business Management, Romanian - American University, Bucharest)

  • Mihai-Tiberiu Iordache

    (IMSAT, Bucharest)

Registered author(s):

    In this article we have analyzed, from data mining point of view, the Romanian real estate market and, on the other hand, we have predicted if a new company that enters on this market would be profitable, which it means that it would belong to the big class of companies or to the non-profitable class, the small class of companies. In the analysis we used mathematical instruments such as the cluster and the discriminant analysis and the programs used for application were Statistical Analysis System and the R program. The main idea that we rely on is the fact that, after splitting the companies into two main clusters, using the cluster analysis, it is possible to calculate the discriminant function and also the discriminant scores and, further, to integrate a new company into one class using the discriminant analysis.

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    Article provided by Romanian-American University in its journal Journal of Information Systems and Operations Management.

    Volume (Year): 6 (2012)
    Issue (Month): 1 (May)
    Pages: 64-73

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    Handle: RePEc:rau:journl:v:6:y:2012:i:1:p:64-73
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