Paper #35

A. Mecchia, T. Mostardi, R. Pupo, A. Tagarelli, I. Trubitsyna "Mining Scientific Results to Measure the Efficiency of Research Centers"

Keywords: clustering, data envelopment analysis, efficiency measures

The paper proposes a technique based on a combined approach of data mining algorithms and linear programming methods for classifying organizational units, such as research centers. We exploit clustering algorithms for grouping information concerning the scientific activi\-ty of research centers. We also show that the replacement of an expensive efficiency measurement, based on the solution of linear programs, with a simple formula allows to efficiently compute clusters of very good quality. Some initial experimental results, obtained from the analysis of research centers in the agro-food sector, show the effectiveness of our approach, both from an efficiency and a quality-of-results viewpoint.