<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>Data Unbound &#187; data mining</title>
	<atom:link href="http://blog.dataunbound.com/category/data-mining/feed/" rel="self" type="application/rss+xml" />
	<link>http://blog.dataunbound.com</link>
	<description>Helping organizations access and share data effectively.  Special focus on web APIs for data integration.</description>
	<lastBuildDate>Sat, 12 Feb 2011 21:00:17 +0000</lastBuildDate>
	<language>en</language>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	<generator>http://wordpress.org/?v=3.3.1</generator>
<image>
  <link>http://blog.dataunbound.com</link>
  <url>http://blog.dataunbound.com/wp-content/plugins/favicon-manager/dataunbound.ico</url>
  <title>Data Unbound</title>
</image>
		<item>
		<title>Interesting application of scholarly data mining</title>
		<link>http://blog.dataunbound.com/2008/01/25/interesting-application-of-scholarly-data-mining/</link>
		<comments>http://blog.dataunbound.com/2008/01/25/interesting-application-of-scholarly-data-mining/#comments</comments>
		<pubDate>Sat, 26 Jan 2008 01:39:30 +0000</pubDate>
		<dc:creator>Raymond Yee</dc:creator>
				<category><![CDATA[data mining]]></category>
		<category><![CDATA[open access]]></category>

		<guid isPermaLink="false">http://blog.dataunbound.com/2008/01/25/interesting-application-of-scholarly-data-mining/</guid>
		<description><![CDATA[	
	<span class="Z3988" title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&amp;rfr_id=info%3Asid%2Focoins.info%3Agenerator&amp;rft.title=Interesting+application+of+scholarly+data+mining&amp;rft.aulast=&amp;rft.aufirst=&amp;rft.subject=data+mining&amp;rft.subject=open+access&amp;rft.source=Data+Unbound&amp;rft.date=2008-01-25&amp;rft.type=blogPost&amp;rft.format=text&amp;rft.identifier=http://blog.dataunbound.com/2008/01/25/interesting-application-of-scholarly-data-mining/&amp;rft.language=English"></span>
When I saw Copycat Articles Seem Rife in Science Journals, a Digital Sleuth Finds &#8211; Chronicle.com, I was curious about the technology behind the findings. How did the researchers figure out the level of duplication in the medical literature? One aspect was the use of eTBlast. (To learn more, I can follow up by reading [...]]]></description>
			<content:encoded><![CDATA[	
	<span class="Z3988" title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&amp;rfr_id=info%3Asid%2Focoins.info%3Agenerator&amp;rft.title=Interesting+application+of+scholarly+data+mining&amp;rft.aulast=&amp;rft.aufirst=&amp;rft.subject=data+mining&amp;rft.subject=open+access&amp;rft.source=Data+Unbound&amp;rft.date=2008-01-25&amp;rft.type=blogPost&amp;rft.format=text&amp;rft.identifier=http://blog.dataunbound.com/2008/01/25/interesting-application-of-scholarly-data-mining/&amp;rft.language=English"></span>
<p>When I saw <a href="http://chronicle.com/daily/2008/01/1362n.htm?utm_source=at&amp;utm_medium=en" class="external">Copycat Articles Seem Rife in Science Journals, a Digital Sleuth Finds &#8211; Chronicle.com</a>,  I was curious about the technology behind the findings. How did the  researchers figure out the level of duplication in the medical  literature? One aspect was the use of <a href="http://invention.swmed.edu/etblast/index.shtml" class="external">eTBlast</a>.  (To learn more, I can follow up by reading the <em>Nature News</em> article (<a href="http://www.nature.com/news/2008/080123/full/news.2008.520.html" class="external">How many papers are just duplicates?</a>) that in turn points to the full article (<a href="http://www.nature.com/nature/journal/v451/n7177/full/451397a.html" class="external">A tale of two citations : Article : Nature</a>).</p>
]]></content:encoded>
			<wfw:commentRss>http://blog.dataunbound.com/2008/01/25/interesting-application-of-scholarly-data-mining/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
	</channel>
</rss>

