Analysis of Regional Innovation Capability Based on Information Security Data Mining Algorithm

Abstract

In order to explore the correlation of population structure and regional innovation capabilities, this paper uses big data technology as the basis to mine massive data and find out the main factors that affect regional innovation capabilities. Moreover, this article studies the influence of population structure on regional innovation capabilities and explores the internal correlation between population structure and regional innovation capabilities, which expands the research field of factors affecting regional innovation capabilities. In addition, this article initially establishes a relatively complete theoretical research framework on the influence of population structure on regional innovation capabilities and constructs a basic model of the correlation between population structure and regional innovation capabilities by combining theory with reality. Finally, this article uses actual data analysis and big data technology to carry out experimental analysis. From the research results, it can be seen that the system constructed in this paper has a certain effect, which demonstrates the correlation of population structure and regional innovation capabilities.