Classification of countries’ progress toward a knowledge economy based on machine learning classification techniques
作者:
Highlights:
• The paper is focused on the progress toward knowledge economy (KE) of countries.
• Behaviour patterns on KE of the countries (clusters) are identified.
• Three ordinal classifiers are compared to identify the best model.
• The best ordinal model according its accuracy is chosen.
• The model can predict the classification toward KE of countries.
摘要
•The paper is focused on the progress toward knowledge economy (KE) of countries.•Behaviour patterns on KE of the countries (clusters) are identified.•Three ordinal classifiers are compared to identify the best model.•The best ordinal model according its accuracy is chosen.•The model can predict the classification toward KE of countries.
论文关键词:Decision support systems,Machine learning,Knowledge economy,Hierarchical clustering,Ordinal classification
论文评审过程:Available online 20 August 2014.
论文官网地址:https://doi.org/10.1016/j.eswa.2014.08.008