摘要：
With the expansion of the enrollment scale of colleges and universities, the entrepreneurial situation of college students has become increasingly severe. The government-school linkage mechanism of college students' entrepreneurship is studied based on fuzzy decision tree algorithm, a fuzzy decision tree algorithm for college students' entrepreneurship is proposed, and this algorithm is used to establish and test the government to promote the protection mechanism, adjust the teaching reform in schools, and establish active adjustment. Mechanisms, the two linked together, the establishment of government-university linkage, and jointly promote college students start business, so as to effectively solve the problem of college students' entrepreneurial difficulties. The results show that: the fuzzy decision tree algorithm is introduced into the employment data mining of colleges and universities to solve the problems of data ambiguity and uncertainty.
摘要：
This study applies two variables in the measurement of company patent deployment strategies: patent family depth and earn plan ratio. Patent family depth represents the degree to which certain fields and markets are valued by the patent owner. Earn plan ratio defined as the ratio of the number of patent forward citations to patent family size. Earn plan ratio indicates the degree to which a patent family could be cited by later innovators and competitors. This study applies a logistic regression model in the analysis LED industry data. The results demonstrate that patent value has a positive relationship with the patent family depth, and earn plan ratio.
通讯机构：
[Zhang, Sifei] W;Wuhan Univ, Inst Dev Cent China, Wuhan 430072, Peoples R China.
关键词：
business;management;innovation
摘要：
This study employs a panel threshold regression model to test whether the patent h–index has a threshold effect on the relationship between patent citations and market value in the pharmaceutical industry. It aims to bridge the gap in extant research on this topic. This study demonstrates that the patent h–index has a triple threshold effect on the relationship between patent citations and market value. When the patent h–index is less than or equal to the lowest threshold, 4, there is a positive relationship between patent citations and market value. This study indicates that the first regime (where the patent h–index is less than or equal to 4) is optimal, because this is where the extent of the positive relationship between patent citations and market value is the greatest.
