CLUSTERING THE COMPANIES FROM THE REAL ESTATE FIELD OF ACTIVITY FROM ROMANIA, USING STATISTICAL ANALYSIS SYSTEM AND THE R PROGRAM

Ionela-Catalina Tudorache, Ana-Maria Mihaela Iordache and Mihai-Tiberiu Iordache
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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

Journal of Information Systems & Operations Management, 2012, vol. 6, issue 1, 64-73

Abstract: 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.

Keywords: cluster analysis; discriminant analysis; Ward; the dendrogram; CAEN; Bucharest Stock Exchange; SAS; the R program (search for similar items in EconPapers)
Date: 2012
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