基于自组织数据挖掘信息产业测度综合法

Comprehensive Method of Information Industry Based on Self-Organizing Data Mining

为了进一步研究信息产业对经济增长的影响,量化信息产业的发展规模和程度,将数据挖掘技术用于信息产业测度中。设计了基于自组织数据挖掘的信息产业综合水平法,并利用该方法对信息产业进行测度,分析了影响信息产业的主要因素。研究结果表明,该方法克服了信息产业测度中的主观性,弥补了单一方法对信息产业测度的不足;增加了测度结果的准确度和科学性,适合输入输出关系较复杂的经济问题(非线性问题)的评价。

In order to better understand the impact of information industry on the growth of economy, the development scale and degree of information industry should be quantified, the technology of data mining in the information industry measure is applied and a comprehensive level method of information industry based on self-organ- izing data mining is designed, and it will have a c6mprehensive measure to the information industry, analyzing primary factor of influence on information industries. The results show that, this method overcomes subjectivity of the information industry measure, it overcomes the deficiencies of single measurement method of information industry, increases the accuracy of results, suits the input-output relations complex the economic problem （nonlinear problem） appraisal.