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Financial Data Analysis and Application Based on Big Data Mining Technology.
- Source :
-
Computational intelligence and neuroscience [Comput Intell Neurosci] 2022 Jun 25; Vol. 2022, pp. 6711470. Date of Electronic Publication: 2022 Jun 25 (Print Publication: 2022). - Publication Year :
- 2022
-
Abstract
- We provide a brief overview of the connotation and characteristics of data mining technology in the era of big data, analyze the feasibility of data mining technology in business management from the economic and technical perspectives, and propose specific application suggestions according to the content and requirements of business management. This paper describes in detail the principles and steps of using the weighted plain Bayesian algorithm and the decision tree algorithm to analyze students' performance; firstly, we need to obtain the plain Bayesian analysis model of college students' learning literacy in physical education and the C4.5 graduation literacy analysis model, and then use certain rules to combine the weighted plain Bayesian algorithm and the decision tree algorithm to obtain the WNB-C4.5 college students' learning literacy analysis model. In addition, in the prediction of financial risks, the classification scheme can be used in the judgment of violation of regulations, but the most used classification scheme is the decision tree. Experiments show that the effectiveness of this scheme in data mining for financial companies is increased by 2% compared to the benchmark method.<br />Competing Interests: The author declares that they have no conflicts of interest regarding this work.<br /> (Copyright © 2022 Jinfeng Cheng.)
- Subjects :
- Bayes Theorem
Data Mining
Humans
Technology
Big Data
Data Analysis
Subjects
Details
- Language :
- English
- ISSN :
- 1687-5273
- Volume :
- 2022
- Database :
- MEDLINE
- Journal :
- Computational intelligence and neuroscience
- Publication Type :
- Academic Journal
- Accession number :
- 35789614
- Full Text :
- https://doi.org/10.1155/2022/6711470