Data Mining and Homeland Security: An Overview

Description:

Data mining has become one of the key features of many homeland security initiatives. Often used as a means for detecting fraud, assessing risk, and product retailing, data mining involves the use of data analysis tools to discover previously unknown, valid patterns and relationships in large data sets. In the context of homeland security, data mining can be a potential means to identify terrorist activities, such as money transfers and communications, and to identify and track individual terrorists themselves, such as through travel and immigration records. This report explores the issue of data mining in detail and in the context of homeland security, as well as relevant initiatives and pieces of legislation.

Creator(s):
Creation Date: October 3, 2006
Partner(s):
UNT Libraries Government Documents Department
Collection(s):
Congressional Research Service Reports
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Total Uses: 132
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Place of Publication: Washington, D.C.
Date(s):
  • Creation: October 3, 2006
  • : October 19, 2006
Description:

Data mining has become one of the key features of many homeland security initiatives. Often used as a means for detecting fraud, assessing risk, and product retailing, data mining involves the use of data analysis tools to discover previously unknown, valid patterns and relationships in large data sets. In the context of homeland security, data mining can be a potential means to identify terrorist activities, such as money transfers and communications, and to identify and track individual terrorists themselves, such as through travel and immigration records. This report explores the issue of data mining in detail and in the context of homeland security, as well as relevant initiatives and pieces of legislation.

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Partner:
UNT Libraries Government Documents Department
Collection:
Congressional Research Service Reports
Identifier:
Resource Type: Report
Format: Text