No abstract

No abstract

No abstract

Assessing a system's efficiency is a challenge whatever the system is, due to the multitude of interactions within and between the systems. In this study, the input-output analysis of performance indicators is completed by data mining techniques in order to identify the position of Romanian education system on Europe's map. Principal components analysis (PCA) is used to eliminate redundant information and create new variables that retain the essential information from initial variables (30 initial variables and 6 principal components), while k-means algorithm is used to classify 31 education systems from Europe in 3 efficiency classes. A preliminary analysis using few indicators show a highly efficient system for Romania (low financing rates and high employment rate with low risk of poverty or social exclusion), but mining deeply into the data and comparing Romania with other European countries show both the weak performance of the system and the way in which European countries are grouped on performance levels.