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<!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="en">
  <front>
    <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>
      <article-id pub-id-type="publisher-id">17</article-id>
      <title-group>
        <article-title>Methods for efficient processing and mining of big data</article-title>
        <trans-title-group xml:lang="ru">
          <trans-title>Эффективная методика обработки многоразмерных данных большого объема</trans-title>
        </trans-title-group>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Kadyrova</surname>
            <given-names>Natalia</given-names>
          </name>
          <email>natalia.kadyrova@gmail.com</email>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Pavlova</surname>
            <given-names>Lydmila</given-names>
          </name>
          <email>lyu0510@gmail.com</email>
        </contrib>
      </contrib-group>
      <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2012-12-10">
        <day>10</day>
        <month>12</month>
        <year>2012</year>
      </pub-date>
      <issue>6</issue>
      <issue-id pub-id-type="publisher-id">162</issue-id>
      <fpage>118</fpage>
      <lpage>124</lpage>
      <abstract xml:lang="en">
        <p>A new methodology has been developed for processing and mining of very large data sets of high dimensionality based on the modern efficient approaches for binary classification. Several examples are given of the real life applications.</p>
      </abstract>
      <kwd-group xml:lang="en">
        <kwd>big data (analytics)</kwd>
        <kwd>data mining</kwd>
        <kwd>data science</kwd>
        <kwd>machine learning</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
