Logic-neural network method to analysis of audit data
Abstract
Nowadays the scientific and technical issue of the modern information technologies in financial and economic sphere of Ukraine is forming of the methodology of planning and creation of the decision support systems (DSS) at the audit of enterprises in the conditions of application of IT and with the use of information technologies. Modern automated DSS audit are based on the automated analysis of the large volumes of data about financial and economic activity and states of enterprises with the multi-level hierarchical structure of heterogeneous, multivariable, multifunction connections, intercommunications and cooperation of objects of audit. The tasks automated DSS audit are expansion of functional possibilities, increase of efficiency and universality of IT-audit.
References
Neskorodіeva T., Fedorov E., Izonin I. Forecast Method for Audit Data Analysis by Modified Liquid State Machine. Proceedings of the 1st International Workshop on Intelligent Information Technologies & Systems of Information Security (IntelITSIS 2020), Khmelnytskyi, Ukraine, 10–12 June, 2020: proceedings. CEUR-WS vol. 2623, 2020, pp. 25–35. URL: http://ceur-ws.org/Vol-2623/paper3.pdf.
Neskorodieva T., Fedorov E.. Automatic analysis method of audit data based on neural networks mapping. VII International Conference IT&I “Information technology and interaction”, December, 02–03, Kyiv, 2020, CEUR-WS vol. 2833, 2021, p. 60–70. URL: http://ceur-ws.org/Vol-2833/Paper_6.pdf
