| This research developed a fuzzy association rule mining technique capable of processing both quantitative and categorical data and implemented it to study the relationships among state social, political context, entrepreneurial activities and economic growth. A set of interesting rules revealing the cause and effect of entrepreneurial activities was generated and the necessity of entrepreneurship in state economic growth was analyzed. The fuzzy association rule mining methodology was compared with multiple regression and the advantages and limitations of this method were given.; The fuzzy association rule mining method can be applied to various research and business fields to conduct quantitative and categorical data analysis. In economics, it can be used as a complement of conventional econometric tools to help discovering previously hidden but potentially interesting economic relationships and generating ideas for new theories. |
