System Analysis of Financial Monitoring Subjects' Activities for the Country's Economic Security Ensuring
DOI:
https://doi.org/10.18502/kss.v3i2.1575Abstract
The article considers the binary classification problem of economic security objects on the credit institutions example, for which it is proposed to use machine learning methods. In the study process the expediency of one of the methods of machine learning — the method of k-nearest neighbors — was proved to solve this problem, its efficiency amountedto 84 %. Key words: machine learning methods, financial statements, performance indicators, credit institutions, binary classification, k-nearest neighbors method.
References
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Apostolos Papadopoulos, Yannis Manolopoulos. Performance of Nearest Neighbor Queries in R-Trees Source // Proceedings of the 6th International Conference on Database Theory. 1997. P. 394 – 408.
Published
2018-02-15
How to Cite
A.S., P., & G.S., P. (2018). System Analysis of Financial Monitoring Subjects’ Activities for the Country’s Economic Security Ensuring. KnE Social Sciences, 3(2), 444–449. https://doi.org/10.18502/kss.v3i2.1575
