<?xml version="1.0" encoding="utf-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "https://jats.nlm.nih.gov/publishing/1.3/JATS-journalpublishing1-3.dtd">
<article article-type="research-article" dtd-version="1.3" xml:lang="ru">
  <front xmlns:xlink="http://www.w3.org/1999/xlink">
    <journal-meta>
      <journal-title-group>
        <journal-title>Computing, Telecommunication and Control</journal-title>
        <trans-title-group xml:lang="ru">
          <trans-title>Информатика, телекоммуникации и управление</trans-title>
        </trans-title-group>
      </journal-title-group>
      <issn pub-type="epub">2687-0517</issn>
    </journal-meta>
    <article-meta xmlns:xlink="http://www.w3.org/1999/xlink">
      <article-id pub-id-type="publisher-id">8</article-id>
      <title-group>
        <article-title>Application of frequency analysis methods for news stream forecasting computer programms</article-title>
        <trans-title-group xml:lang="ru">
          <trans-title>Применение методов частотного анализа при создании программ для прогнозирования новостного потока</trans-title>
        </trans-title-group>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Avgustinov</surname>
            <given-names>Dmitry</given-names>
          </name>
          <email>avgustinov@bk.ru</email>
        </contrib>
      </contrib-group>
      <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2013-12-10">
        <day>10</day>
        <month>12</month>
        <year>2013</year>
      </pub-date>
      <issue>6</issue>
      <issue-id pub-id-type="publisher-id">186</issue-id>
      <fpage>67</fpage>
      <lpage>76</lpage>
      <self-uri xmlns:xlink="http://www.w3.org/1999/xlink" content-type="pdf" xlink:href="https://infocom.spbstu.ru/userfiles/files/articles/2013/6/8_avgustinov.pdf"/>
      <abstract xml:lang="en">
        <p>The article covers the research of existing forecasting methods and its classification. Basic principles of analysis and forecasting of stock markets are researched Algorithm of forecasting financial markets based on the frequency analysis is studied in the article. The results of the research obtained with the program in Java are presented. Forecasts of stock market analysts are used as an input. Forward-looking statements of studied time series are calculated with a help of extrapolation methods.</p>
      </abstract>
      <kwd-group xml:lang="en">
        <kwd>frequency analysis</kwd>
        <kwd>forecasting</kwd>
        <kwd>time series</kwd>
        <kwd>stock market</kwd>
        <kwd>semantic analysis</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
