Digital Economy Development, Technological Innovation and Export Technology Complexity from the Perspective of big Data

Abstract

Digital economy development, technological innovation and export technology complexity from the perspective of big data is studied in the paper. The article first introduces the multi-dimensional redundant data mining under big data mining. By analyzing the internal relations of big data, a multi-dimensional data de-clustering algorithm analysis model suitable for big data processing is established and the algorithm is improved. And experimental analysis, it is found that the complexity of the algorithm during sampling is relatively low. In the expert scoring link of the fuzzy comprehensive evaluation model, the level difference of the review experts is considered, so as to control the expert review behavior through method design and reduce the evaluation of scientific and technological achievements. The influence of man-made factors. The empirical analysis shows that the model is feasible and practical.