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	<title>Comments on: Online Credit Card Fraud and Spending in the UK</title>
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	<link>http://blog.geoiq.com/2009/12/29/online-credit-card-fraud-and-spending-in-the-uk/</link>
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		<title>By: Instant business credit card</title>
		<link>http://blog.geoiq.com/2009/12/29/online-credit-card-fraud-and-spending-in-the-uk/#comment-1164</link>
		<dc:creator>Instant business credit card</dc:creator>
		<pubDate>Fri, 25 Jun 2010 03:55:39 +0000</pubDate>
		<guid isPermaLink="false">http://blog.fortiusone.com/?p=1234#comment-1164</guid>
		<description>awesome blog…I&#039;ve actually enjoyed it!</description>
		<content:encoded><![CDATA[<p>awesome blog…I&#8217;ve actually enjoyed it!</p>
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		<title>By: Manual Duda</title>
		<link>http://blog.geoiq.com/2009/12/29/online-credit-card-fraud-and-spending-in-the-uk/#comment-1163</link>
		<dc:creator>Manual Duda</dc:creator>
		<pubDate>Thu, 27 May 2010 06:49:47 +0000</pubDate>
		<guid isPermaLink="false">http://blog.fortiusone.com/?p=1234#comment-1163</guid>
		<description>I hope, you will find the correct decision. Do not despair.</description>
		<content:encoded><![CDATA[<p>I hope, you will find the correct decision. Do not despair.</p>
]]></content:encoded>
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	<item>
		<title>By: Dominic Gonzales</title>
		<link>http://blog.geoiq.com/2009/12/29/online-credit-card-fraud-and-spending-in-the-uk/#comment-1162</link>
		<dc:creator>Dominic Gonzales</dc:creator>
		<pubDate>Tue, 25 May 2010 18:01:38 +0000</pubDate>
		<guid isPermaLink="false">http://blog.fortiusone.com/?p=1234#comment-1162</guid>
		<description>i am not a fan of having credits and getting credits cards.:~*</description>
		<content:encoded><![CDATA[<p>i am not a fan of having credits and getting credits cards.:~*</p>
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		<title>By: Zak Fisher</title>
		<link>http://blog.geoiq.com/2009/12/29/online-credit-card-fraud-and-spending-in-the-uk/#comment-1161</link>
		<dc:creator>Zak Fisher</dc:creator>
		<pubDate>Tue, 25 May 2010 02:27:20 +0000</pubDate>
		<guid isPermaLink="false">http://blog.fortiusone.com/?p=1234#comment-1161</guid>
		<description>Identity Theft is so rampant these days because it is quite easy to harvest information from someone else.;&quot;.</description>
		<content:encoded><![CDATA[<p>Identity Theft is so rampant these days because it is quite easy to harvest information from someone else.;&#8221;.</p>
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		<title>By: Jestep</title>
		<link>http://blog.geoiq.com/2009/12/29/online-credit-card-fraud-and-spending-in-the-uk/#comment-1160</link>
		<dc:creator>Jestep</dc:creator>
		<pubDate>Fri, 22 Jan 2010 15:29:52 +0000</pubDate>
		<guid isPermaLink="false">http://blog.fortiusone.com/?p=1234#comment-1160</guid>
		<description>This is really cool. I blogged about &lt;a href=&quot;http://www.merchantaccountblog.com/667/spotting-large-scale-credit-card-fraud&quot; rel=&quot;nofollow&quot;&gt;common point of purchase (CPP) fraud detection&lt;/a&gt; a few months ago.

Yours demonstrates an outstanding visual map of similar fraud detection. I&#039;m not sure if the data get&#039;s close enough to identify anything specifically, but one can definitely get an idea where fraud is more likely, based on the clusters shown in the map.</description>
		<content:encoded><![CDATA[<p>This is really cool. I blogged about <a href="http://www.merchantaccountblog.com/667/spotting-large-scale-credit-card-fraud" rel="nofollow">common point of purchase (CPP) fraud detection</a> a few months ago.</p>
<p>Yours demonstrates an outstanding visual map of similar fraud detection. I&#8217;m not sure if the data get&#8217;s close enough to identify anything specifically, but one can definitely get an idea where fraud is more likely, based on the clusters shown in the map.</p>
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		<title>By: Julian Burgess</title>
		<link>http://blog.geoiq.com/2009/12/29/online-credit-card-fraud-and-spending-in-the-uk/#comment-1159</link>
		<dc:creator>Julian Burgess</dc:creator>
		<pubDate>Fri, 08 Jan 2010 13:15:14 +0000</pubDate>
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		<description>Good post. It would be good to be able to illustrate this sort of data using a heat map. Ideally directly from each lat/lng instead of having to count and group by postal district.</description>
		<content:encoded><![CDATA[<p>Good post. It would be good to be able to illustrate this sort of data using a heat map. Ideally directly from each lat/lng instead of having to count and group by postal district.</p>
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