Next Generation Optimization Network of Mining Driving Factors for Operating Project in Enterprise Management Platform

Abstract In order to ensure the normal advancement of enterprise operating projects, an artificial intelligence based method of mining driving factors for operating projects in enterprise management platform is proposed. In this method, project driving factors are selected from different project stages and dimensions to form a driving factors set of operating projects in the enterprise management platform. After using the Analytic Hierarchy Process (AHP) method to impute missing data in the driving factors set of operating project in the enterprise management platform, the imputed driving factors data is used as an improvement support vector machine input to output the mining results of driving factors for operating project in the enterprise management platform. The experimental results show that this method can effectively interpolate the data of project driving factors with trends, and also effectively output the driving factors at different stages of the project. The F1 value of the output results is high, and the mining of project driving factors for operating project in the enterprise management platform is more accurate.