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	<title>UCR Today &#187; data mining</title>
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		<title>Using Big Data to Save Lives</title>
		<link>http://ucrtoday.ucr.edu/9667</link>
		<comments>http://ucrtoday.ucr.edu/9667#comments</comments>
		<pubDate>Mon, 22 Oct 2012 14:02:03 +0000</pubDate>
		<dc:creator>Sean Nealon</dc:creator>
				<category><![CDATA[Science/Technology]]></category>
		<category><![CDATA[Bourns College of Engineering]]></category>
		<category><![CDATA[Childen's Hospital Los Angeles]]></category>
		<category><![CDATA[data mining]]></category>
		<category><![CDATA[David Kale]]></category>
		<category><![CDATA[Eamonn Keogh]]></category>
		<category><![CDATA[press release]]></category>
		<category><![CDATA[Randall Wetzel]]></category>
		<category><![CDATA[Vasilis Tsotras]]></category>
		<category><![CDATA[Walid Najjar]]></category>

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		<description><![CDATA[Computer scientists at the University of California, Riverside are working with a doctor at Children’s Hospital Los Angeles to mine data collected from pediatric intensive care units in hopes of helping doctors treat children and cutting health care costs.]]></description>
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		<title>Living the Promise: Eamonn Keogh</title>
		<link>http://ucrtoday.ucr.edu/6652</link>
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		<pubDate>Thu, 31 May 2012 20:34:40 +0000</pubDate>
		<dc:creator>Kris Lovekin</dc:creator>
				<category><![CDATA[Science/Technology]]></category>
		<category><![CDATA[computer science]]></category>
		<category><![CDATA[data mining]]></category>
		<category><![CDATA[Eamonn Keogh]]></category>
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		<description><![CDATA[By designing sophisticated algorithms that identify patterns in widely diverse datasets, Prof. Keogh creates unique tools that detect specific shapes and characteristics.]]></description>
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		<title>Data Mining Deep Space</title>
		<link>http://ucrtoday.ucr.edu/4482</link>
		<comments>http://ucrtoday.ucr.edu/4482#comments</comments>
		<pubDate>Thu, 29 Mar 2012 18:53:48 +0000</pubDate>
		<dc:creator>Iqbal Pittalwala</dc:creator>
				<category><![CDATA[Science/Technology]]></category>
		<category><![CDATA[Bahram Mobasher]]></category>
		<category><![CDATA[data mining]]></category>
		<category><![CDATA[Department of Physics and Astronomy]]></category>
		<category><![CDATA[galaxies]]></category>
		<category><![CDATA[Hubble Space Telescope]]></category>
		<category><![CDATA[press release]]></category>

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		<description><![CDATA[UC Riverside’s Bahram Mobasher has received a NASA grant to compile data from the Hubble Space Telescope.]]></description>
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		<title>Using Twitter to Predict Financial Markets</title>
		<link>http://ucrtoday.ucr.edu/4158</link>
		<comments>http://ucrtoday.ucr.edu/4158#comments</comments>
		<pubDate>Mon, 19 Mar 2012 16:33:13 +0000</pubDate>
		<dc:creator>Sean Nealon</dc:creator>
				<category><![CDATA[Science/Technology]]></category>
		<category><![CDATA[data mining]]></category>
		<category><![CDATA[Eduardo J. Ruiz]]></category>
		<category><![CDATA[press release]]></category>
		<category><![CDATA[social media]]></category>
		<category><![CDATA[Twitter]]></category>
		<category><![CDATA[Vagelis Hristidis]]></category>

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		<description><![CDATA[A University of California, Riverside professor and several other researchers have developed a model that uses data from Twitter to help predict the traded volume and value of a stock the following day.]]></description>
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