Construction and Simulation on Environmental Quality Evaluation Model Based on Data Mining and Correlation Analysis

Abstract

In this paper, we conduct research on environmental quality evaluation model based on data mining and correlation analysis. Along with the application of multi-statistical analysis method, the big data analysis law by has been applied in the environmental quality evaluation. Reciprocities of this method among from many targets starts that changes into a few not related overall targets many targets and the merit lies in had considered the relevance among various targets that can maximum limit retain original information, carries on best comprehensive dimensionality reduction processing to the high dimensional data. Aside by using this feature, this paper proposes the data mining and correlation analysis based model. The basic task of the analytical grey incidence is the microscopic or macroscopic geometry of behavior based factor sequence is close, to analyze and contribution degree of influence or the factor between determination factors to main behavior, but the gray incidence space carries on the foundation of analytical grey incidence. We implement the model on the air and water quality evaluation which are assisted with the neural network and gray analysis. The experimental result reflect the effectiveness of our model, it can evaluate the environmental quality effectively.