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  <responseDate>2026-10-25T15:16:10Z</responseDate>
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        <identifier>oai:meral.edu.mm:recid/3818</identifier>
        <datestamp>2021-12-13T03:24:13Z</datestamp>
        <setSpec>1582963302567:1597824273898</setSpec>
        <setSpec>user-ucsy</setSpec>
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          <dc:title>Elimination noisy information on web page</dc:title>
          <dc:creator>Sone, Aye Pyae</dc:creator>
          <dc:creator>Nwe, Nwe</dc:creator>
          <dc:description>Web page typically contains manyinformation blocks. They are navigation panels,copyright and privacy notices and advertisements.These blocks are useful for business purposes.These blocks are called as the noisy blocks whichcan harm web data mining. And so, eliminatingthese noises is of great importance. The noisyblocks usually share some common contents andpresentation styles. The main contents of web pageare different in the common presentation styles.Based on this observation, a site style tree (SST) ispresented in this system to capture the commonpresentation styles and actual contents. Aninformation based algorithm is used to determinewhich parts of the SST represent noises and whichparts represent the main contents of the site.Experimental results show that eliminating noisyinformation on web pages will be effective for webdata mining. The system shows how much noisyinformation blocks can be removed from webpages depending upon file size. The users canchoose desired web page and this system willeliminate unnecessary noise by using noisedetection and web page cleaning algorithm.</dc:description>
          <dc:date>2009-12-30</dc:date>
          <dc:identifier>http://hdl.handle.net/20.500.12678/0000003818</dc:identifier>
          <dc:identifier>https://meral.edu.mm/records/3818</dc:identifier>
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