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Machine Learning Approach for National Innovation Performance Data Analysis
Proceedings of the 8th International Conference on Data Science, Technology and Applications
National innovation performance is essential for being economically competitive. The key determinants for its increase or decrease and the impact of governmental decisions or policy instruments are still not clear. Recent approaches are either limited due to qualitatively selected features or due to a small database with few observations. The aim of this paper is to propose a suitable machine learning approach for national innovation performance data analysis. We use clustering and correlationdoi:10.5220/0007953603250331 dblp:conf/data/FornerOB19 fatcat:nvfdkulo2vgxtbqiu4ecg3oxsu