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      <title>BUZZ SESSION 1 : DATA MINING by </title>
      <link>https://padlet.com/nilamnur/w7o0645ngv1c</link>
      <description>MANB1143 FT01&amp;FT02</description>
      <language>en-us</language>
      <pubDate>2017-04-24 23:22:09 UTC</pubDate>
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      <webMaster>hello@padlet.com</webMaster>
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         <title>Application Case 1 : A Mine on Terrorist Funding </title>
         <author>nilamnur</author>
         <link>https://padlet.com/nilamnur/w7o0645ngv1c/wish/167984556</link>
         <description><![CDATA[<div>•Question for Discussion :</div><div>1.How can data mining be used to fight terrorism? Comment on what else can be done beyond what is covered in this short application case.</div><div>2.Do you think data mining, while essential for fighting terrorist cells, also jeopardizes individuals’ rights of privacy?</div>]]></description>
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         <pubDate>2017-04-24 23:24:34 UTC</pubDate>
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         <title>2Ys</title>
         <author></author>
         <link>https://padlet.com/nilamnur/w7o0645ngv1c/wish/168004301</link>
         <description><![CDATA[<div>Answer<br><br>Q1 : <br>1) Law enforcement on tracking trading price since abnormal financial transactions has been identified as a form of terrorist financing - higher import price which exceed upper quartile import price. and lower export price that below the lower quartile.<br>2) Money laundering - move money silently without gov attentions<br>3) Price deviation may related to the tax avoidance and terrorist financing<br><br>Q2 :<br>Yes. Because it monitors individual's privacy without their consent. </div>]]></description>
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         <pubDate>2017-04-25 03:50:07 UTC</pubDate>
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         <title>Q1.</title>
         <author></author>
         <link>https://padlet.com/nilamnur/w7o0645ngv1c/wish/168004542</link>
         <description><![CDATA[<div>Track behavior and movement of potential terrorists, as well as text mining emails,blogs and social media threads.<br>Pattern-based data analysis also has potential for counterterrorism in the longer term <br>types of pattern-based searches that could prove useful include searches for particular combinations of lower-level activity that together are predictive of terrorist activity. For example, a pattern of a terrorist might be a person in the country on a student visa who purchases a bomb-making book and 50 medium-sized loads of fertiliser. Or, if the concern is that terrorists will use large trucks for attacks, automated data analysis might be conducted regularly to identify people who have rented large trucks, used hotels or drop boxes as addresses, and fall within certain age ranges or have other qualities that are part of a known terrorist pattern. Significant patterns in e-mail traffic might be discovered that could reveal terrorist activity. <br><br>Q2.<br>yes it could jeopardizes individuals privacy by tracking personal and financial data of individuals.<br><br>mohammad,<br>ali</div>]]></description>
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         <pubDate>2017-04-25 03:52:58 UTC</pubDate>
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         <title></title>
         <author></author>
         <link>https://padlet.com/nilamnur/w7o0645ngv1c/wish/168005885</link>
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         <pubDate>2017-04-25 04:10:04 UTC</pubDate>
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