VIEWS: 9 PAGES: 6 POSTED ON: 9/18/2012
Data Mining: Supporting Angela Bleggi Taylor Field Fidel Rubio Cameron Williams Definitions 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 terrorism. 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 records. 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.
"For Data Mining"