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For Data Mining


									Data Mining: Supporting
         Angela Bleggi
          Taylor Field
          Fidel Rubio
        Cameron Williams
 Data   Mining - the principle of sorting through large
 amounts of data and picking out relevant information.

 Association     Rule Mining – The principle of
 finding regularities in data / identifying patterns that
 occur frequently in a database.
           Main Argument
We need to be proactive rather than reactive in
the face of terrorist threats, and the use of data
mining would allow us to gather and judge the
most information possible in terms of identifying
and potentially preventing future acts of
      Detecting Terrorist Threats
   According to Undersecretary of Defense Pete Aldridge
    in a 2002 interview, a main aspect of the government’s
    data mining would be finding connections between
    transactions such as passports, visas, work permits,
    driver's license, credit card, airline tickets, rental cars,
    gun purchases, chemical purchases -- and events --
    such as arrest or suspicious activities.

   Once a potential terrorist has been identified, data
    mining can be used to track their activity through travel
      Detecting Terrorist Threats
   Association Rule Mining can be used to find suspicious
    patterns within a database.

    For instance, if every time John Doe received a call from
    Oklahoma City he immediately called a number in
    Pakistan, an algorithm would associate these calls.
    National security officials could then decide whether or
    not to investigate further.
       Data Mining and Security
   It is true that no one likes their privacy invaded,
    but it is also true that no one likes living in fear of
    terrorist attacks. As citizens of a country that is
    all too often the target of terrorist attacks, we
    should be willing to sacrifice some of our privacy
    in order to maintain national security.

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