Application of Data Mining Algorithm in Governmental R&D Investment and Independent Innovation Ability

نویسندگان

  • Du Hongwei
  • Jia Zhang
چکیده

In this paper, the authors analyse the application of data mining algorithm in governmental R&D investment and independent innovation ability. Independent innovation ability is an important indicator to promote economic development, and improve the ability of independent innovation cannot be separated from the support of the policy in government input of science and technology. This paper mainly studies that the effect of the government input of science and technology to the independent innovation ability in Hebei province, that is to find out the important factors in the policy of government input of science and technology affecting the ability of independent innovation through data mining, and through the grey correlation analysis method analyses that the factors associated with the ability of independent innovation, then according to the relation degree between factors to put forward specific advises.

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تاریخ انتشار 2017