
Research Article
Deep Level Intelligent Mining Method of Online Education Decision Information in Economic Management
@INPROCEEDINGS{10.1007/978-3-031-21161-4_47, author={Jiajie Wang}, title={Deep Level Intelligent Mining Method of Online Education Decision Information in Economic Management}, proceedings={e-Learning, e-Education, and Online Training. 8th EAI International Conference, eLEOT 2022, Harbin, China, July 9--10, 2022, Proceedings, Part I}, proceedings_a={ELEOT}, year={2023}, month={3}, keywords={Economic management Online education Decision making information Deep level Educational objects Intelligent mining}, doi={10.1007/978-3-031-21161-4_47} }
- Jiajie Wang
Year: 2023
Deep Level Intelligent Mining Method of Online Education Decision Information in Economic Management
ELEOT
Springer
DOI: 10.1007/978-3-031-21161-4_47
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.