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	<title>SQL Server Performance &#187; Paul te Braak</title>
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	<description>SQL Server Performance Tuning</description>
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		<title>Claytons Data Mining (Part 2)</title>
		<link>http://www.sql-server-performance.com/2008/claytons-data-mining-part2/</link>
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		<pubDate>Tue, 18 Nov 2008 01:12:50 +0000</pubDate>
		<dc:creator>Paul te Braak</dc:creator>
				<category><![CDATA[Business Intelligence]]></category>
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		<description><![CDATA[This article is the second installment of Claytons data mining. Detect Categories Each row in the spreadsheet is considered to be a discrete observation.  This is easy to understand when we look at the data in the sheet ‘Table Analysis Tools Sample’ because each row represents a customer.  We also know particular attributes about the [...]]]></description>
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		<title>Claytons Data Mining (Part 1)</title>
		<link>http://www.sql-server-performance.com/2008/claytons-data-mining-part1/</link>
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		<pubDate>Thu, 13 Nov 2008 01:12:50 +0000</pubDate>
		<dc:creator>Paul te Braak</dc:creator>
				<category><![CDATA[Business Intelligence]]></category>
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		<description><![CDATA[Introduction The success of OLAP technologies is driven by the ability to provide end users with fast access to data without the need for technical interaction.  The sophistication of todays reporting tools and multidimensional databases allow users to define their own reports, from content to presentation and delivery.  The tools allow a user to think [...]]]></description>
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