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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="ru">
  <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">29</article-id>
      <title-group>
        <article-title>Aprioristic methods of the estimation for aggregation degree and productivity of calculations in data warehouse</article-title>
        <trans-title-group xml:lang="ru">
          <trans-title>Методы априорной оценки степени агрегации и производительности запросов в хранилищах данных</trans-title>
        </trans-title-group>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Popkova</surname>
            <given-names>Alla</given-names>
          </name>
          <email>infalla@bk.ru</email>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Fomicheva</surname>
            <given-names>Svetlana</given-names>
          </name>
          <email>levikha@rambler.ru</email>
        </contrib>
      </contrib-group>
      <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2010-06-10">
        <day>10</day>
        <month>06</month>
        <year>2010</year>
      </pub-date>
      <issue>3</issue>
      <issue-id pub-id-type="publisher-id">101</issue-id>
      <fpage>182</fpage>
      <lpage>190</lpage>
      <abstract xml:lang="en">
        <p>In given article the approach to an aprioristic estimation of data aggregation degree for a multidimensional hypercube and a technique of increase in speed of performance of analytical inquiries with low and average selectivity for the account of reduction for the computing expenses connected with aggregation of the generalised data is offered.</p>
      </abstract>
      <kwd-group xml:lang="en">
        <kwd>data warehouse</kwd>
        <kwd>OLAP-technology</kwd>
        <kwd>aggregation degree of data</kwd>
        <kwd>the directed graph</kwd>
        <kwd>productivity of calculation</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
