Itgs research - computer matching
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Computer matching involves comparing data from multiple sources to identify matches. The FBI developed computer matching in 1976 to search employee records in Chicago and find cases of fraud. The FBI and government health agencies were responsible for managing early computer matching programs, which involved techniques such as passport and photo matching. Future matching may involve scanning body features for identification.
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United States General Accounting Office
Report to the Ranking Minority Member,
Subcommittee on Financial Management,
the Budget, and International Security,
Committee on Governmental Affairs,
U.S. Senate
May 2004 DATA MINING
Federal Efforts Cover
a Wide Range of Uses
a
GAO-04-548
Federal agencies are using data mining for a variety of purposes, ranging
from improving service or performance to analyzing and detecting terrorist
patterns and activities. Our survey of 128 federal departments and agencies
on their use of data mining shows that 52 agencies are using or are planning
to use data mining. These departments and agencies reported 199 data
mining efforts, of which 68 are planned and 131 are operational. The figure
here shows the most common uses of data mining efforts as described by
agencies. Of these uses, the Department of Defense reported the largest
number of efforts aimed at improving service or performance, managing
human resources, and analyzing intelligence and detecting terrorist
activities. The Department of Education reported the largest number of
efforts aimed at detecting fraud, waste, and abuse. The National Aeronautics
and Space Administration reported the largest number of efforts aimed at
analyzing scientific and research information. For detecting criminal
activities or patterns, however, efforts are spread relatively evenly among
the agencies that reported having such efforts.
In addition, out of all 199 data mining efforts identified, 122 used personal
information. For these efforts, the primary purposes were improving service
or performance; detecting fraud, waste, and abuse; analyzing scientific and
research information; managing human resources; detecting criminal
activities or patterns; and analyzing intelligence and detecting terrorist
activities.
Agencies also identified efforts to mine data from the private sector and data
from other federal agencies, both of which could include personal
information. Of 54 efforts to mine data from the private sector (such as
credit reports or credit card transactions), 36 involve personal information.
Of 77 efforts to mine data from other federal agencies, 46 involve personal
information (including student loan application data, bank account numbers,
credit card information, and taxpayer identification numbers).
Top Six Purposes of Data Mining Efforts in Departments and Agencies
Both the government and the
private sector are increasingly
using “data mining”—that is, the
application of database technology
and techniques (such as statistical
analysis and modeling) to uncover
hidden patterns and subtle
relationships in data and to infer
rules that allow for the prediction
of future results. As has been
widely reported, many federal data
mining efforts involve the use of
personal information that is mined
from databases maintained by
public as well as private sector
organizations.
GAO was asked to survey .
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