Study on Dispatching Model of Block Economy Based-Data Mining

Abstract

Economic dispatch plays the most important role in the economic and stability of financial system operation. With the introduction of many intelligent management models in economic construction, the scale of collectible financial system data has shown an explosive growth trend. In the paper, a PSO-LSSVM data mining prediction model based on big data is established, and a block-based economic dispatch method is proposed to deal with financial risks. In the experiment, financial data is used as a sample to predict the actual risk curve. The results show that the risk prediction result obtained by the proposed prediction algorithm is closer to the actual risk. The validity of the model is explained, and the experimental results provide a decision-making basis for the economic dispatch of the financial system.