Based on the integration of multimedia e-commerce environment in the enterprise management innovation technology applications

Abstract

This paper first applies Multi-Agents’ distributed data management model to establish an enterprise economic data mining platform, combined with a clustering algorithm to extract valuable economic data from a multi-source heterogeneous enterprise database. The weights of indicators are solved by particle cluster algorithm, and the linkage vector distance and set-pair analysis of linkage degree are introduced to construct the innovative technology of enterprise economics and management under the integrated multimedia e-commerce environment. The study shows that the enterprise macro optimal economic index weight of this paper’s method is 0.812, and the production qualification rate of the enterprise is as high as 98.8%, which indicates that this paper’s method can meet the innovation of the enterprise development, and realize the enterprise business management and development strategy is of great significance.

Keywords

• e-commerce
• converged multimedia
• clustering algorithm
• particle swarm algorithm
• business administration innovation
• 78-02