Data mining and the search for security: Challenges for connecting the dots and databases

被引:30
作者
Seifert, JW [1 ]
机构
[1] Lib Congress, Congress Res Serv, Washington, DC 20540 USA
关键词
D O I
10.1016/j.giq.2004.08.006
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 [信息资源管理]; 120501 [图书馆学];
摘要
Data mining is emerging as 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 is often viewed as 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. However, compared to earlier uses of data ruining by government, some of the homeland security data mining applications represent a significant expansion in the quantity and scope of data to be analyzed. Three of the higher profile initiatives include the now defunct Terrorism Information Awareness (TIA) project, the recently canceled Computer-Assisted Passenger Prescreening System II (CAPPS II), and the Multistate Anti-Terrorism Information Exchange (MATRIX) pilot project. This article examines the evolving nature of data mining for homeland security purposes, the limitations of data mining, and some of the issues raised by its expanding use, including data quality, interoperability, mission creep, and privacy. Published by Elsevier Inc.
引用
收藏
页码:461 / 480
页数:20
相关论文
共 49 条
[1]
*2 CROWS CORP, 1999, INTR DAT MIN KNOWL D
[2]
*2 CROWS CORP, 1999, INTR DAT MIN KNOWL D, P5
[3]
*2 CROWS CORP, 1999, INTR DAT MIN KNOWL D, P4
[4]
*ACC OFF, 2004, AV SEC CHALL DEL IMP, P17
[5]
ADRIAANS P, 1996, DATA MINING, P5
[6]
[Anonymous], WASHINGTON POST 1022
[7]
[Anonymous], GAO04385
[8]
[Anonymous], WASHINGTON POST 0820
[9]
BERGSTEIN B, 2004, SUNHERALD 0520
[10]
CAHLINK G, 2000, GOVT EXECUTIVE 1001