https://en.wikipedia.org/w/index.php?action=history&feed=atom&title=Talk%3AStreamlizing_algorithmsTalk:Streamlizing algorithms - Revision history2025-06-02T18:46:04ZRevision history for this page on the wikiMediaWiki 1.45.0-wmf.3https://en.wikipedia.org/w/index.php?title=Talk:Streamlizing_algorithms&diff=320511107&oldid=prev58.213.184.66 at 01:01, 18 October 20092009-10-18T01:01:14Z<p></p>
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 01:01, 18 October 2009</td>
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<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>As opposed to persistent data stored in memory medium for <del style="font-weight: bold; text-decoration: none;">accessed</del> on demand, transient data originated on line stream <del style="font-weight: bold; text-decoration: none;">by</del> if not explicitly stored. These transient data, called data streams, invalid many existing algorithms for persistent data. Paralleled with persistent data and data streams, streaming algorithms is coined which process streams with sublinear memory cost. Among many methods of designing algorithms for data streams, "streamlizing" algorithms to enable algorithms to process data streams is a possible research direction.</div></td>
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<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>As opposed to persistent data stored in memory medium for <ins style="font-weight: bold; text-decoration: none;">access</ins> on demand, transient data originated on line stream <ins style="font-weight: bold; text-decoration: none;">are lost</ins> if not explicitly stored. These transient data, called data streams, invalid many existing algorithms for persistent data. Paralleled with persistent data and data streams, streaming algorithms is coined which process streams with sublinear memory cost. Among many methods of designing algorithms for data streams, "streamlizing" algorithms to enable algorithms to process data streams is a possible research direction.</div></td>
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</table>58.213.184.66https://en.wikipedia.org/w/index.php?title=Talk:Streamlizing_algorithms&diff=315036545&oldid=prevChongzhihongwiki: ←Created page with 'As opposed to persistent data stored in memory medium for accessed on demand, transient data originated on line stream by if not explicitly stored. These transient ...'2009-09-20T03:49:34Z<p><a href="/wiki/Wikipedia:AES" class="mw-redirect" title="Wikipedia:AES">←</a>Created page with 'As opposed to persistent data stored in memory medium for accessed on demand, transient data originated on line stream by if not explicitly stored. These transient ...'</p>
<p><b>New page</b></p><div>As opposed to persistent data stored in memory medium for accessed on demand, transient data originated on line stream by if not explicitly stored. These transient data, called data streams, invalid many existing algorithms for persistent data. Paralleled with persistent data and data streams, streaming algorithms is coined which process streams with sublinear memory cost. Among many methods of designing algorithms for data streams, "streamlizing" algorithms to enable algorithms to process data streams is a possible research direction.<br />
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External Links: [WebDB.cn@Southeast University http://sites.google.com/site/webdbp2p/]</div>Chongzhihongwiki