Data Mining and Homeland Security: An Overview

Abstract

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.

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Document Details

Document Type
Technical Report
Publication Date
Apr 03, 2008
Accession Number
ADA486542

Entities

People

  • Jeffrey W. Seifert

Organizations

  • Library of Congress

Tags

Communities of Interest

  • Air Platforms
  • Cyber
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Civil Rights
  • Commerce
  • Congress
  • Counterterrorism
  • Criminals
  • Data Analysis
  • Data Mining
  • Drug Trafficking
  • Homeland Security
  • Information Exchange
  • Information Science
  • Information Systems
  • Law
  • National Security
  • Network Science
  • Personnel Management
  • Security

Readers

  • Cybersecurity.
  • Economics

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy