Research on cost prediction of civil engineering construction based on multi-dimensional data mining

Abstract

The accuracy of the cost prediction of civil engineering is an important step in the refined management of modern civil engineering. Therefore, a research on the cost forecast of civil engineering based on multi-dimensional data mining is proposed, which combines data mining technology and cost forecasting. Based on the results of data mining, the predictive data is preprocessed, and the factor that has the greatest impact on the cost is screened out, which is the installation cost of the building in the project. And design a fitting function to preprocess the data. Establish a civil engineering cost prediction model. The first step is to determine historical indicators, search for corresponding historical data based on actual engineering data, and transform the prediction characteristics of the data, and finally complete the civil engineering cost prediction, and finally prove it through test experiments. The method’s engineering cost prediction accuracy is relatively high.