Big Data Information Management and Database Construction Based on Machine Learning Algorithm

Authors

  • Rongguo Fu Information Center, Jiangsu Earthquake Agency, Nanjing 210014, Jiangsu, China
  • Zhu Qi Information Center, Jiangsu Earthquake Agency, Nanjing 210014, Jiangsu, China
  • Yao Zhang Information Center, Jiangsu Earthquake Agency, Nanjing 210014, Jiangsu, China
  • Nan Chen Information Center, Jiangsu Earthquake Agency, Nanjing 210014, Jiangsu, China

DOI:

https://doi.org/10.31577/cai_2026_2_365

Keywords:

Information management, database construction, machine learning, artificial intelligence

Abstract

The database management system based on Machine Learning (ML) algorithm can achieve effective classification by acquiring and analyzing massive data. Therefore, this paper analyzed and studied the Big Data (BD) information management and database construction based on ML algorithm. Artificial intelligence provided a feasibility analysis for this article. The research and analysis results showed that the BD information management efficiency based on ML algorithm was 10.17 % higher than the traditional BD information management efficiency, and the comprehensive evaluation was as high as 88.5. This showed that the BD information management and database construction based on ML algorithm is feasible.

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Published

2026-06-29

How to Cite

Fu, R., Qi, Z., Zhang, Y., & Chen, N. (2026). Big Data Information Management and Database Construction Based on Machine Learning Algorithm. Computing and Informatics, 45(2), 365–381. https://doi.org/10.31577/cai_2026_2_365

Issue

Vol. 45 No. 2 (2026): Computing and Informatics

Section

Articles