Open AccessComputational analysis of the digital footprint using machine learning and artificial intelligence
Author(s) -
V. D. Munister,
A. L. Zolkin,
А. В. Ишков,
Oksana Vladimirovna Kosnikova,
I. A. Poskryakov
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2094/3/032003
Subject(s) - computer science , artificial intelligence , categorical variable , machine learning , generalization , control (management) , industrial engineering , engineering , mathematical analysis , mathematics
The article discusses the procedure of step-by-step formalization of the software model of the system for accounting and forecasting the effectiveness of employees of an IT enterprise The issue of control of social interaction is considered. The relational model from game theory based on a specific data model template is proposed. Generalization in form of highlighting the categorical apparatus of metrics that directly or indirectly affect the procedure for assessing work efficiency, downtime or incorrect use of a working device (computer) is proposed. An architectural model of the application is proposed and substantiated, a model of a system for working with metrics is determined, the implementation of the necessary analysis tools in form of a combination of various machine learning algorithms used in systems with a binary classification based on decision making by the operator (the object of analysis) is described. The article summarizes the economic effect of the implementation of this approach in employee control systems.