Abstract
The existing resource database input information control methods have the problem of complex data set block integration process, resulting in low control rate. Therefore, a data mining based intelligent education resource database input information control method is proposed. Identify the performance characteristics of intelligent education resource database, adopt a comprehensive and open architecture, block data with file granularity, optimize the data set block integration process, set the security range by using data mining, and design the input information control mode according to the needs of teaching and learning. Experimental results: the average control value of the input information control method of the intelligent education resource database is 69.388%, which shows that after fully combining the data mining technology, the proposed method is more effective and more efficient.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Chen, G., Cheng, H., Su, H., et al.: Control of input information in pharmacy education resource database based on data mining. Microcomputer Applications 37(10), 5–8 (2021)
Hu, X., Liu, Y., Liao, B.: Construction of resource sharing platform based on intelligence education. J. Neijiang Norm. Univ. 35(6), 63–67 (2020)
Zhang, Q., Li, L., Li, X.: Research on the problems in construction of teaching database of vocational education specialty. Vocat. Tech. Educ. 41(23), 6–10 (2020)
Chang, Z.-H., Gong, P.-F., Zhao, R.-S.: On the current situation and plan of the construction of the university continuing education resource base in the “internet +” times. Contemporary Continuing Education 38(3), 4–9 (2020)
Liu, T.-R., Yang, Y.: A data mining algorithm for matrix and sort index association rules. Comput. Technol. Dev. 31(2), 54–59 (2021)
Feng, Y., Fei, W., Wang, Z., et al.: Electronic measurement technology. 43(3), 54–58 (2020)
Guo, L.: Fault-tolerant simulation of erasure codes for stored data based on data mining. Comput. Simul. 37(4), 142–146 (2020)
Grabchak, E.P., Loginov, E.L., Mischeryakov, S.V., et al.: Approaches to the integration of information about resource and financial flows in the fuel and power complex under the digital transformation of control systems. Upravlenie 8(2), 13–19 (2020)
Sivaraman, A., Mason, T., Panda, A., et al.: Network architecture in the age of programmability. Comput. Commun. Rev. 50(1), 38–44 (2020)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Wang, X., Zhang, P. (2022). Control Method of Input Information Amount of Intelligent Education Resource Database Based on Data Mining. In: Fu, W., Sun, G. (eds) e-Learning, e-Education, and Online Training. eLEOT 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 454. Springer, Cham. https://doi.org/10.1007/978-3-031-21164-5_9
Download citation
DOI: https://doi.org/10.1007/978-3-031-21164-5_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-21163-8
Online ISBN: 978-3-031-21164-5
eBook Packages: Computer ScienceComputer Science (R0)