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DEVELOPMENT OF INTELLIGENT ELECTRONIC DOCUMENT MANAGEMENT SYSTEM MODEL BASED ON MACHINE LEARNING METHODS

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dc.contributor.author Sambetbayeva, Madina
dc.contributor.author Kuspanova, Inkarzhan
dc.contributor.author Yerimbetova, Aigerim
dc.contributor.author Serikbayeva, Sandugash
dc.contributor.author Bauyrzhanova, Shynar
dc.date.accessioned 2024-09-20T09:17:20Z
dc.date.available 2024-09-20T09:17:20Z
dc.date.issued 2022
dc.identifier.citation Sambetbayeva, M., Kuspanova, I., Yerimbetova, A., Serikbayeva, S., Bauyrzhanova, S. (2022). Development of intelligent electronic document management system model based on machine learning methods. Eastern-European Journal of Enterprise Technologies, 1 (2 (115)), 68–76. doi: https://doi.org/10.15587/1729-4061.2022.251689 ru
dc.identifier.issn 1729-3774
dc.identifier.uri https://doi.org/10.15587/1729-4061.2022.251689
dc.identifier.uri http://rep.enu.kz/handle/enu/16751
dc.description.abstract With the daily increase in document flow, as well as the transition to paperless document management around the world, the demand for electronic document management systems is increasing. This significantly requires optimization of these systems in terms of quality document information retrieval and document management. However, research based on statistical methods cannot effectively handle large amounts of data extracted from electronic documents. In this regard, machine learning methods can effectively solve this problem. This paper presents an approach to building a model of an intelligent document management system using machine learning techniques to ensure efficient employee performance in organizations. The authors have solved a number of problems to optimize each of the document management subsystems, resulting in the development of an intelligent document management system model, which can be effectively applied to enterprises, government and corporate institutions. The feasibility and effectiveness of the proposed model of intelligent document management system based on machine learning and multiagent modeling of information retrieval processes provides maximum reliability and reduced time of work on documents. The obtained results show that with the help of the presented model it is possible to further develop an intelligent document management system that will allow an electronic document to qualitatively go through the whole life cycle of a document, starting from the moment of document registration and finishing with its closing, i.e. execution, which will greatly facilitate the daily work of users with large volumes of documents. At the same time, the paper considers the application of topic modeling methods and algorithms of text analysis based on a multi-agent approach, which can be used to build an intelligent document management system. ru
dc.description.sponsorship This research has been funded by the Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan (Grant No AP08857179). ru
dc.language.iso en ru
dc.publisher Eastern-European Journal of Enterprise Technologies ru
dc.relation.ispartofseries Volume 1, Issue 2-115;Pages 68 - 76
dc.subject Electronic document management system ru
dc.subject Machine learning ru
dc.subject Multi-agent technologies ru
dc.subject Topic modeling ru
dc.title DEVELOPMENT OF INTELLIGENT ELECTRONIC DOCUMENT MANAGEMENT SYSTEM MODEL BASED ON MACHINE LEARNING METHODS ru
dc.type Article ru


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