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<article article-type="research-article" dtd-version="1.3" xml:lang="en">
  <front xmlns:xlink="http://www.w3.org/1999/xlink">
    <journal-meta>
      <journal-title-group>
        <journal-title>Technoeconomics</journal-title>
        <trans-title-group xml:lang="ru">
          <trans-title>Technoeconomics</trans-title>
        </trans-title-group>
      </journal-title-group>
      <issn pub-type="epub">2949-1290</issn>
    </journal-meta>
    <article-meta xmlns:xlink="http://www.w3.org/1999/xlink">
      <article-id pub-id-type="publisher-id">6</article-id>
      <article-id pub-id-type="doi">10.57809/2023.2.4.7.6</article-id>
      <title-group>
        <article-title>Applying machine learning methods in electronic document management systems</article-title>
        <trans-title-group xml:lang="ru">
          <trans-title>Применение методов машинного обучения в системах электронного документооборота</trans-title>
        </trans-title-group>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Abdukhalilova</surname>
            <given-names>Laylo</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0001-9292-7759</contrib-id>
          <name>
            <surname>Iliashenko</surname>
            <given-names>Oksana</given-names>
          </name>
          <xref ref-type="aff" rid="aff2"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Alchinova</surname>
            <given-names>Dayana</given-names>
          </name>
          <xref ref-type="aff" rid="aff2"/>
        </contrib>
      </contrib-group>
      <aff id="aff1">Tashkent State University of Economics</aff>
      <aff id="aff2">Peter the Great St.Petersburg Polytechnic University</aff>
      <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2023-12-29">
        <day>29</day>
        <month>12</month>
        <year>2023</year>
      </pub-date>
      <volume>2</volume>
      <issue>4</issue>
      <issue-id pub-id-type="publisher-id">7</issue-id>
      <fpage>61</fpage>
      <lpage>71</lpage>
      <self-uri xmlns:xlink="http://www.w3.org/1999/xlink" content-type="pdf" xlink:href="https://technoeconomics.spbstu.ru/userfiles/files/Issues/7/6-Abdukhalilova-Ilyashenko-Alchinova.pdf"/>
      <abstract xml:lang="en">
        <p>This article discusses methods and schemes for using machine learning in automating document management business processes. The scenarios described in the article can be useful for companies involved in document workflow automation or related areas (for example, email services) or ECM systems in general, and represent a generalization of the experience of specialists in the use of machine learning methods in document management. Several machine learning models used in business process automation solutions in practice are also considered. The results of the study, based on the analysis of all the points considered in the article, identified the main possible areas of development that arise when using machine learning models in electronic document management systems, which will be useful for data scientists developing such areas of AI, as machine learning.</p>
      </abstract>
      <kwd-group xml:lang="en">
        <kwd>business processes</kwd>
        <kwd>documentation support for management</kwd>
        <kwd>machine learning</kwd>
        <kwd>electronic document management systems</kwd>
        <kwd>data analytics</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
