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.

In the face of today’s fast updating and wide variety of word segmentation, it is difficult to accurately identify the keyword segmentation in the enterprise’s internal control information. Therefore, a visual display method of enterprise internal control information based on cluster analysis algorithm is proposed. Fully considering the characteristics of enterprise internal control, on the basis of clarifying the visual display process of enterprise internal control information, the visual display coefficient of enterprise internal control information is optimized based on cluster analysis algorithm. By optimizing the visual display value, the visual display parameter fusion of enterprise internal control information is realized. The dimension of enterprise internal control information is reduced, and the mean value of color difference between pixels is used to ensure the separability of visual display images, so as to realize the visual display of enterprise internal control information. The experimental results show that the proposed method can accurately identify the enterprise internal control information, which shows that the practical application ability of this method has been improved.