An Enterprise Competitiveness Assessment Method Based on Ensemble Learning

• Published in: Web Information Systems and Applications Vol. 11817; pp. 79 - 84
• Main Authors: Chang, Yaomin, Li, Yuzheng, Chen, Chuan, Cao, Bin, Li, Zhenxing
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2019; Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Data mining; Ensemble learning; Enterprise competitiveness assessment; Machine learning
• ISBN: 9783030309510; 3030309517
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-030-30952-7_9

It is of great significance to assess the competitiveness of enterprises based on big data. The current methods cannot help corporate strategists to judge the status quo and prospects of enterprises’ development at a relatively low cost. In order to make full use of big data to evaluate enterprise competitiveness, this paper proposes an enterprise competitiveness assessment method based on ensemble learning. The experimental results show that our method has a significant improvement in the task of the enterprise competitiveness assessment.