title: Ð¡Ð¾Ð²ÐµÑÑÐµÐ½ÑÑÐ²Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð¿ÑÐ¾ÑÐµÑÑÐ¾Ð² ÑÐ»ÐµÐºÑÑÐ¾Ð½Ð½Ð¾Ð³Ð¾ Ð´Ð¾ÐºÑÐ¼ÐµÐ½ÑÐ¾Ð¾Ð±Ð¾ÑÐ¾ÑÐ° Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Improving electronic document management processes using machine learning
Creators: name: ÐÐ»ÑÑÐ¸Ð½Ð¾Ð²Ð°, ÐÐ°ÑÐ½Ð°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2024
Subjects: ÑÐ¸ÑÑÐµÐ¼Ñ ÑÐ»ÐµÐºÑÑÐ¾Ð½Ð½Ð¾Ð³Ð¾ Ð´Ð¾ÐºÑÐ¼ÐµÐ½ÑÐ¾Ð¾Ð±Ð¾ÑÐ¾ÑÐ°
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Ð¿ÑÐ¾ÑÐµÑÑÑ Ð´Ð¾ÐºÑÐ¼ÐµÐ½ÑÐ¾Ð¾Ð±Ð¾ÑÐ¾ÑÐ°
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ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ðµ Ð´Ð°Ð½Ð½ÑÐ¼Ð¸
Ð´Ð¾ÐºÑÐ¼ÐµÐ½ÑÐ°ÑÐ¸Ñ
electronic document management systems
machine learning
implementation
document management processes
information technology
project
data management
documentation

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description: The purpose of the research is to propose improvements to typical document flow processes using machine learning models. The research was carried out on the basis of the results of an analysis of problems and main tasks of the EDMS, a description of typical document flow processes, the results of an analysis of analytical text processing tools and identified problems with the use of standard EDMS functions in the considered processes. The subject of the thesis is standard processes of electronic document management. During the work on the masters thesis, theoretical and empirical methods were used: systematization, analysis of literature and regulatory documentation, comparative analysis, synthesis and generalization of the data obtained. Main results of the study: a solution has been proposed, for the implementation of which it is necessary to initiate a project for introducing machine learning into electronic document management systems to increase the productivity of workers directly involved in the described processes by reducing the time for maintaining and processing documents. The materials of this work, summarized based on the results of the analysis, can be used as a practical application at the enterprise to improve the efficiency of office departments. The scientific novelty is a fundamentally new application of machine learning to automate the process of working with a document in the system by reducing the performance of manual actions by an enterprise employee. The conclusion of the masters thesis is the rationale for the use of machine learning in EDMS.