Association mining-based method for enterprise’s technological innovation intelligent decision making under big data

International Journal of Computers Communications & Control

article

Qianqian Zhang¹  Guining Geng²  Qun Tu³ 

[1] School of Information, Beijing Wuzi University;360 Digital Security Technology Group Co., Ltd.;School of Economics and Management, Beijing University of Chemical Technology

关键词: Intelligent decision;    association rule mining;    enterprises technological innovation;    FP-Growth algorithm;   

DOI  :  10.15837/ijccc.2023.2.5241

学科分类：自动化工程

来源: Universitatea Agora

【 摘 要 】

Technological innovation is vital for the survival and development of enterprises. In the era of intelligent information interconnection and knowledge-driven economy, there is a growing interest in how to manage high-volume data, unlock its potential value, and provide intelligent analysis and decision-making support for enterprise’s technological innovation. This paper proposes an improved knowledge association analysis method based on the semantic concept model. This approach enables the discovery of potential correlations and interaction modes between the influencing factors of enterprise’s technological innovation, and provides a useful reference for decision-making by combining the analysis with the enterprise’s own situation.

【 授权许可】

CC BY-NC