DOD Recruitment
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FAQ: Data Mining
What is data-mining?
Data-mining are methods used to extract knowledge from large amounts
of information.
How does data-mining work?
While the methods of data mining can vary the components are data input,
data analysis, and the results. This does not mean that the information
used for data-mining purposes is accurate nor does it mean that those
who use data-mining only have good intentions.
Who uses data-mining?
Many government agencies and private businesses use data-mining. The
data broker industry, which uses data-mining routinely, sells the personal
information of consumers to anyone with the money to buy it. Their clients
also include federal government agencies. The Department of Defense (DOD)
planed to use data-mining when they attempted to create the Total Information
Awareness project, which Congress ended when the program was brought to
the public's attention. Federal, state and local law enforcement agencies
planed to create a data-mining project called MATRIX, but was unsuccessful
when few states were willing to support the project, once it became publicly
known.
Why would someone use data-mining?
Private businesses use data-mining to attempt to better market products
to consumers or screen for customers who may be more open to making purchases
when certain sells tactics are used. The federal government has used data-mining
as a means of searching for criminals or those suspected of crimes.
How will the DOD use data-mining?
The DOD will most likely use both pattern-based and subject-based data-mining
methods. Pattern based data-mining methods search for information based
on matches or departures from desired pattern. The information may include
those who like to play combat related video games, intend to seek certain
college degrees, or attend trade schools. Subject-base data-mining methods
would look for information on a particular person. The information used
might include their name, school, address, zip code, age, race, gender,
grade point average, and graduation date.
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