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  <responseDate>2026-06-24T22:50:02Z</responseDate>
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      <header>
        <identifier>oai:meral.edu.mm:recid/4273</identifier>
        <datestamp>2022-03-24T23:16:17Z</datestamp>
        <setSpec>1582963302567:1597824273898</setSpec>
        <setSpec>user-ucsy</setSpec>
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          <dc:title>Implementing Prediction System by Using Ontology based PHS Algorithm</dc:title>
          <dc:creator>Hsan, Nu War</dc:creator>
          <dc:creator>Phyu, Sabai</dc:creator>
          <dc:description>Web prediction is a classification approach topredict the next step of Web pages that a user may visiton the knowledge of the previously visited pages. Theweb usage mining techniques are used to analyze theweb usage patterns for a web site. The user access logis used to fetch the user access patterns and these areused in the prediction process. There are manymethods based on web usage mining for predictionsystem but most of all are based on traditional methodssuch as sequential pattern mining, clustering and soon. In this paper, the ontology based PHS (PerfectHashing and Shrinking) algorithm is used indeveloping list by applying semantic similarity relatedwith the domain ontology.</dc:description>
          <dc:date>2015-02-05</dc:date>
          <dc:identifier>http://hdl.handle.net/20.500.12678/0000004273</dc:identifier>
          <dc:identifier>https://meral.edu.mm/records/4273</dc:identifier>
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