Research Article
Intelligent Statistical Method of Accounting Information Teaching Data Based on SVM
@INPROCEEDINGS{10.1007/978-3-031-21161-4_45, author={Chen Chen and Yan Chao}, title={Intelligent Statistical Method of Accounting Information Teaching Data Based on SVM}, 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={SVM Accounting information Teaching data Intelligent statistics Statistical methods Data statistics Classifier}, doi={10.1007/978-3-031-21161-4_45} }- Chen Chen
Yan Chao
Year: 2023
Intelligent Statistical Method of Accounting Information Teaching Data Based on SVM
ELEOT
Springer
DOI: 10.1007/978-3-031-21161-4_45
Abstract
Aiming at the problem of poor data fitting results caused by large sample loss in the classification of intelligent statistical method of accounting information teaching data, an intelligent statistical method of accounting information teaching data based on SVM is proposed. Because the distribution of accounting information teaching data is seriously unbalanced, an unbalanced processing mechanism is established to improve the ability of data recognition. Design multiple binary SVM models, synthesize the accounting information teaching data label results predicted by multiple binary SVM based on the fusion strategy, build an intelligent statistical model, and finally output the statistical results of the classification status of the data label. Chi square goodness of fit test and K-S test are carried out for the intelligent statistical method. The results show that the data goodness of fit of the intelligent statistical method of accounting information teaching data based on SVM is higher than that based on latent variable model and weighted distance, so it has better data quality.
