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        <datestamp>2021-12-13T00:30:11Z</datestamp>
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          <dc:title>Intelligent Query Answering By Knowledge Discovery Technique</dc:title>
          <dc:creator>Tin Tin Yee</dc:creator>
          <dc:creator>Khin Sandar</dc:creator>
          <dc:description>In this paper, we propose the framework of knowledge discovery technique for intelligent query answering. In a database system, there may exist two kinds of queries: data queries and knowledge queries. Data query finds concrete data stored in a database and corresponds to a basic retrieval statement in a database system. Knowledge query finds rules, patterns and other kinds of knowledge in a database and corresponds to querying database knowledge including deduction rules, integrity constraints, generalized rules, frequent patterns and so on. Our framework is based on attribute-oriented induction approach for the discovery of multiple, statistical rules in large database.</dc:description>
          <dc:date>2008-12-01</dc:date>
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