Labor force mobility is an increasingly important component of contemporary society and equally adjustment tool imbalances in labor markets. The phenomenon of labor mobility is nowadays the most dynamic form of movement of potentially active population. Using cluster analysis this paper aims to...

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...

Data mining, also known as "discovery knowledge in large databases "is a modern and powerful information technology and communications tool that can be used to extract useful information but still unknown. This automates the process of discovery some relations and mixtures from the raw data and...

The analysis of social indicators and the analysis of life quality are very important in order to know, in time, the changes of the main social and economic phenomena that characterize a society. To monitor the social system is a priority of modern societies because it helps to identify in time...

The aim of this research is to study life quality using the cluster analysis methodology. The analysis includes a number of classifing algorithms of elements into relatively homogenous groups and makes a global analysis of statistical units using a high number of characteristics. The required...

In hierarchical cluster analysis, dendrograms are used to visualize how clusters are formed. I propose an alternative graph called a "clustergram" to examine how cluster members are assigned to clusters as the number of clusters increases. This graph is useful in exploratory analysis for...