Data mining as a means of automation of the decision-making support in automated troops management systems

Abstract

The article examines the technology of data mining as an instrumental means of automating decision-making support in automated troop management systems (ATMS). During the study of the subject area, the problems of the decision-making support process in ATMSs have been analyzed, sources testifying to the relevance of the automation of this process and the current state of affairs are being considered. An option to increase the degree of automation of the decision-making support process is proposed for consideration due to the use of intelligent data analysis technology, which has been the main focus of the article. During the analysis of the latest research and publications on this topic, it has been found that the automation of the decision-making support process due to intelligent data analysis is considered promising and is studied, as a rule, within the framework of research on artificial intelligence and machine learning technologies. The main material of the study covers the generalized algorithm of automated decision-making support, an analogy of the functions of the intelligent decision support system with the tasks solved by intelligent data analysis is also made. Based on this, the clustering tasks have been described, search for associative rules, classification and regression in the context of their application for getting knowledge from data found in the automated troop management system, with examples of the results of their implementation. A more in-depth study of intellectual data analysis is defined as directions for further research and ways to automate the decision-making support process using this technology. Also, a promising direction of research is simulation modeling of an intellectualized decision support system of an automated troops control system.