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        <article-title>Biclustering Methods Meets Formal Concept Analysis</article-title>
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        <contrib contrib-type="author">
          <string-name>George Karypis</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
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          <label>0</label>
          <institution>University of Minnesota</institution>
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          <addr-line>Twin Cities, Minneapolis</addr-line>
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          <country country="US">USA</country>
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      <abstract>
        <p>The purpose of this talk is to provide an overview of the problem of biclustering, review the various state-of-the-art methods that have been developed in recent years for solving it, and discuss how Formal Concept Analysis methods can benefit from or can be used in bi-clustering.</p>
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