Abstract
The conventional economic management online education decision-making information deep-level intelligent mining method has the problem of fuzzy characteristics of decision-making information, resulting in a long mining time. A new economic management online education decision-making information deep-level intelligent mining method is designed. Combined with the scores in the school online education database, collect the economic management discipline information, define the class density function, extract the hierarchical characteristics of decision-making information, divide the online education types, use the learners’ satisfaction to explain the continuous learning behavior, and design a deep-seated intelligent mining method according to the specific situation of the model to be mined. Experimental results: the mining time of the deep-level intelligent mining method of economic management online education decision information in this paper and the other two deep-level intelligent mining methods are 17.168 s, 17.372 s and 10.306 s respectively, which shows that the designed deep-level intelligent mining method of economic management online education decision information has better performance.
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
Similar content being viewed by others
References
Huang, S., Zhang, J., Li, M., et al.: Decision information mining method of product iteration design from the perspective of separation. Journal of Machine Design 38(5), 138–144 (2021)
Peng, Q.: Emergency decision support system demand data self-service mining simulation. Computer Simulation 36(8), 329–332 (2019)
Yang, S., Wan,g Y., Li, Y., et al.: Teaching program establishment for sports economy and management major based on ISM 42(z1), 90–94,97 (2020)
Yan, A., Yan, X., Chen, Z.: Formal vector method of rule extraction for consistent decision information system. Comput. Sci. 46(10), 236–241 (2019)
Jiang, Y., Li, L., Li, Z., et al.: An information mining method of power transformer operation and maintenance texts based on deep semantic learning. Proc. CSEE 39(14), 4162–4171 (2019)
Chen, Y., Wang, S.: Study on armament S&T information research systems in big data era: study on armament S&T information research methods oriented meeting high-level demands and information mining technology. Inf. Stud. Theor. Appl. 43(4), 14–17 (2020)
Wang, L., Li, X., Liu, Z., et al.: Research on entity mining method based on open information source. Inf. Sci. 37(8), 139–144 (2019)
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, J. (2022). Deep Level Intelligent Mining Method of Online Education Decision Information in Economic Management. 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 453. Springer, Cham. https://doi.org/10.1007/978-3-031-21161-4_47
Download citation
DOI: https://doi.org/10.1007/978-3-031-21161-4_47
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-21160-7
Online ISBN: 978-3-031-21161-4
eBook Packages: Computer ScienceComputer Science (R0)