Education, Science, Technology, Innovation and Life
Open Access
Sign In

Research on Database Optimization Techniques and Methods of Public Library Management Information System under the Background of Big Data

Download as PDF

DOI: 10.23977/infkm.2023.040108 | Downloads: 9 | Views: 373

Author(s)

Chuan Gao 1,2

Affiliation(s)

1 University of San Carlos, Cebu 6000, Philippines
2 Hunan University of Humanities, Science and Technology, Loudi, Hunan, 417000, China

Corresponding Author

Chuan Gao

ABSTRACT

With the continuous improvement of information technology in the context of big data, the performance and security of database technology of management information system of public libraries are constantly optimized and improved. Operating system, hardware and software have many influences on the database performance of public library management information system. According to the principle of database optimization, the database optimization method of public library management information system is designed to optimize the performance of data technology of public library management information system.

KEYWORDS

Public Library, Management Information System, Database, Optimization Technology

CITE THIS PAPER

Chuan Gao, Research on Database Optimization Techniques and Methods of Public Library Management Information System under the Background of Big Data. Information and Knowledge Management (2023) Vol. 4: 63-70. DOI: http://dx.doi.org/10.23977/infkm.2023.040108.

REFERENCES

[1] Sun L, Zhang W, & Sun, Y. (2022) Research on the optimization of the public library management information system database based on the integration of cloud computing and big data. Jo urnal of Physics: Conference Series, 2022(1985), 012126.
[2] Liu Chuxiong, Liang Yingying. Database performance optimization technology of management information system .Science and Technology Plaza, 2011(05):89-91.
[3] Yin Zuanxing. Design and implementation of database optimization technology for agricultural information service platform. Guangzhou: Zhongkai University of agriculture and engineering, 2020:18-25.
[4] Li X, Li X, & Zhou, S. (2020) Optimization of public library management information system database based on big data. Journal of Physics: Conference Series, 2020(1566), 042076.
[5] Zhang Z, & Chen, S. (2021). Database optimization of public library management information system based on big data. Journal of Physics: Conference Series, 2021(1805), 042002.
[6] He H, & Ma W. (2021). Database optimization of public library management information system based on data mining. Proceedings of the 2nd International Conference on Computer Science and Application Engineering, 139-144.
[7] Wu Y, Wu, J, & Zhou, J. (2021). Researchontheoptimization of public library management information system database based on cloud computing. Journal of Physics: Conference Series, 2021(1921), 012137.
[8] Jiang Xiang, Li Jiayi. Research on database optimization of public library management information system based on cloud computing technology. Modern Electronic Technology, 2020, 43(19):131-134.
[9] Shang J, Zhang L, & Chen Y. (2021). A study of database optimization for public library management information system. In 2021 3rd International Conference on Computer Engineering, Network and Intelligent Multimedia (CENIM2021) (pp.269-273).
[10] Chen H, Li X, & Li Y. (2020). Optimization of the database system of a public library based on cloud computing technology. Journal of Physics: Conference Series, 1618(4), 042118.
[11] Kuo M. S, & Chen, S. C. (2020) Database optimization for the circulation management of a public library using data mining techniques. Journal of Ambient Intelligence and Humanized Computing, 11(3), 1043-1053.
[12] Jie Chen, Kong Yuhong. Research on optimization of public library management information system based on relational database technology. Modern Information, 2021, 41(5):81-86.
[13] Marco. Research on database optimization of public library management information system based on data mining. Information Science, 2021, 39(4):123-127.
[14] Li Zhimin, Liao Mingchao. Research on database optimization method of large-scale management information system. Modern Information Technology, 2018(04):14-15.
[15] Zhao Xuheng. Design and implementation of library public database based on big data.Changchun: Jilin University, 2016.

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.