Abstract
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.
The work described in this paper was supported by the National Key Research and Development Program (2016YFB1000101), the National Natural Science Foundation of China (61722214,11801595), the Natural Science Foundation of Guangdong (2018A030310076), and CCF Opening Project of Information System.
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Chang, Y., Li, Y., Chen, C., Cao, B., Li, Z. (2019). An Enterprise Competitiveness Assessment Method Based on Ensemble Learning. In: Ni, W., Wang, X., Song, W., Li, Y. (eds) Web Information Systems and Applications. WISA 2019. Lecture Notes in Computer Science(), vol 11817. Springer, Cham. https://doi.org/10.1007/978-3-030-30952-7_9
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DOI: https://doi.org/10.1007/978-3-030-30952-7_9
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