Target detection network and data mining application for industrial economic analysis

Because a large amount of data is generated during network operation, data mining technology plays an important role in obtaining valuable information. Therefore, research on optimizing the industrial ecological network in the context of industrial ecology and economic development should formulate industrial policies that are compatible with the new situation and new demand structure, and accelerate the process of regime change, adapting to the structure, and supporting upgrades. Ultimately realize sustainable development, realize the development of industrial environment and economic development, environmental development and sustainable economy have educational and practical value. This article is based on a series of timeline and economic analysis methods, using EViews software 8.0, SPSS 20.0 software and Matlab 2012a to update the timeline data, Which promoted the establishment of the first partition of the ARIMA model, the gray estimation model and the discrete equation time series estimation model of the forecasting model.