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	<title>stratos.me &#187; elijah</title>
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	<link>http://www.stratos.me</link>
	<description>Just writing what hits my mind!</description>
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		<title>How to access bindings from Java code in ADF</title>
		<link>http://www.stratos.me/2008/07/how-to-access-bindings-from-java-code-in-adf/</link>
		<comments>http://www.stratos.me/2008/07/how-to-access-bindings-from-java-code-in-adf/#comments</comments>
		<pubDate>Fri, 25 Jul 2008 22:26:49 +0000</pubDate>
		<dc:creator>elijah</dc:creator>
				<category><![CDATA[Quickies]]></category>
		<category><![CDATA[Tutorials]]></category>
		<category><![CDATA[adf java code binding iterator bean javabean managed ba]]></category>

		<guid isPermaLink="false">http://stratosector.net/myblog/?p=119</guid>
		<description><![CDATA[Maybe it&#8217;s me stupid, but I was looking for this for quite long and finally figured out how to. So I thought it could save someone&#8217;s time too. Say we have a JSPX page bound to a ViewObject. Also there&#8217;s a backing bean for this page. What we want is to access from the backing [...]]]></description>
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		<title>Data Mining for Netflix challenge &#8211; part 1</title>
		<link>http://www.stratos.me/2008/04/data-mining-for-netflix-challenge-part-1/</link>
		<comments>http://www.stratos.me/2008/04/data-mining-for-netflix-challenge-part-1/#comments</comments>
		<pubDate>Tue, 15 Apr 2008 16:49:32 +0000</pubDate>
		<dc:creator>elijah</dc:creator>
				<category><![CDATA[Tutorials]]></category>
		<category><![CDATA[challenge]]></category>
		<category><![CDATA[computational problem]]></category>
		<category><![CDATA[data mining]]></category>
		<category><![CDATA[mysql]]></category>
		<category><![CDATA[netflix]]></category>
		<category><![CDATA[parsing data]]></category>
		<category><![CDATA[unsolved]]></category>

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		<description><![CDATA[I had written an application for the Netflix challenge. Here&#8217;s the report (sort of), it&#8217;s split into 3 parts. This is my first blog entry, so sorry for the style. 0. The problem. The problem was announced by Netflix back in 2006. It concerns a challenge for creating an accurate prediction system for the Netflix [...]]]></description>
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