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数据挖掘在美国本土安全中的应用 被引量:5

Application of Data Mining in American Homeland Security
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摘要 数据挖掘的出现是美国许多本土安全法案的重要特征之一。在本土安全的内涵中,数据挖掘通常被视为识别恐怖分子活动的一种潜在手段;它也可以通过交通和移民记录识别和跟踪个别恐怖分子。介绍了在美国本土安全中应用数据挖掘的两项工程,并预测了未来美国政府数据挖掘活动的发展趋势。 Data mining is emerging as one of the key features of many American homeland security bills. In the context of homeland security, data mining is often viewed as a potential means to identify terrorist activities, it also can identify and track individual terrorists themselves through travel and immigration records. This paper introduces two projects applying data mining in American homeland security and predicts the data mining activities of U.S. government in the future.
作者 焦健 王祥
机构地区 电子工程学院
出处 《舰船电子工程》 2006年第1期32-35,共4页 Ship Electronic Engineering
关键词 数据挖掘 应用 本土安全 data mining, application, homeland security
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参考文献4

  • 1[1]Jeffrey W.Seifert.CRS Report for Congress RL31798.7[R].Data Mining:An Overview
  • 2[2]Department of Defense.Report to Congress Regarding the Terrorism Information Awareness Program[R].Detailed Information,2003,5:1 (emphasis added)
  • 3[3]Department of Defense,Office of the Inspector General.Information Technology Management:Terrorism Information Awareness Project[M].(D2004-033).2003,12:7
  • 4[4]U.S.General Accounting Office.Aviation Security:Challenges Delay Implementation of Computer-Assisted Passenger Prescreening System[M].GAO Testimony GAO-04-504T,2004:17

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