Problems of Data Collection for the Application of the Data Mining Methods in Analyzing Threshold Levels of Indicators of Economic Security

Abstract

Determining threshold values of key economic security indices describing an economic situation in any country is an important stage in the assessment of the country’s economic stability. A research was undertaken to determine how this problem can be effectively solved with such Data Mining algorithm as decision trees. According to the results of the research the effectiveness of the method was proved, but only with sufficient amount of data available. However, such data collection has a number of significant problems. These problems can be attributed to the following factors: the data for the analysis are presented with varying frequency, there is no possibility to use data over longer time intervals, the lack of a common list of indicators of economic security, which are used in different countries. The purpose of this paper is to analyze the existing problems of the data collection and to submit proposals of solving them.

 

Keywords: Economic security, Issues of data collection, Data Mining, thresholds.

References
[1] A.N. Zhukov, K.V. Evsikov, Leonov P.Y., Morozov N.V., Domashova J.V. Use of Data Mining Algorithms While Determining Threshold Values of Economic Security Indices. -2017 5