Construction of Economic Index System of High-Tech Industry based on Data Mining Technology

With the rapid development of science and technology and the continuous improvement of the degree of world economic integration and globalization, the competition between countries and regions in the world is increasingly manifested in the field of knowledge production and high-tech industry. The high-tech industry accounts for an increasing proportion in the national economy, and high-tech and its industry have become an important driving force for future economic development. The index system of high-tech industry is constructed and applied by using data mining technology. The main purpose of this project is to build an index system of high-tech industries as a reference tool for national economic development decisions. The construction method mainly includes four steps: 1) selection, 2) division, 3) classification and 4) evaluation. In order to select relevant information from different sources, such as statistics, publications and other resources, we use advanced methods. This paper takes the investment environment of high-tech industry as the research content. First, it expounds the basic concepts and characteristics of high-tech industry and investment environment, defines the concept of high-tech industry investment environment, and points out the relationship and difference between high-tech industry investment environment and traditional industry investment environment. Then it introduces the main quantitative and qualitative analysis methods for evaluating the investment environment, and makes a comparative analysis of these methods.