On U.S. homeland security and database technology

Journal of Database Management

Volumn 16, Issue 1, 2005, Pages 1-17

  Kim, Won ^a,b  

^a Cyber Database Solutions   (United States)

^b Ewha Womans University   (South Korea)

Author keywords

Data integration; Data quality; Data warehousing; Database systems; Homeland security; Metadata management; Terrorism

Indexed keywords

ALARM SYSTEMS; COSTS; DATA ACQUISITION; DATA WAREHOUSES; DATABASE SYSTEMS; METADATA;

DATA INTEGRATION; DATA QUALITY; HOMELAND SECURITY; METADATA MANAGEMENT; TERRORISM;

SECURITY OF DATA;

EID: 10444221737     PISSN: 10638016     EISSN: None     Source Type: Journal    
DOI: 10.4018/jdm.2005010101     Document Type: Review

References (11)

1. Bacheldor, B. (2003). Defense department schedules RFID pilots. Information Week, December 22/29.
2. Brant, M. (2003). Olympian challenge. Newsweek, November 17.
3. English, L. (2005). Information quality: Critical ingredient for national security. Journal of Database Management, 16(1), 18-32.
4. Han, J., & Kamber, M. (2001). Data mining: Concepts and techniques. Morgan Kaufmann.
5. Kim, W. (2003). On database technology for U.S. homeland security. Journal of Object Technology, (May/June). Retrieved from: www.jot.fm
6. Kim, W., Choi, B., Hong, E., Lee, D., & Kim, S. (2003). On a taxonomy of dirty data. Journal of Knowledge Discovery and Data Mining, 7(1).
7. Regional Terrorist Groups Pose Growing Threat, Experts Warn. (2004). The New York Times (Internet edition), February 8.
8. Sheth, A., et al. (2005). Semantic association identification and knowledge discovery for national security applications. Journal of Database Management, 16(1), 33-53.
9. Smith, M. & King, P. (2005). A database interface for link analysis. Journal of Database Management, 16(1), 60-74.
10. Thompson, P. (2005). Text mining, names, and security. Journal of Database Management, 16(1), 54-50.
11. Thuraisingham, B. (2005). Privacy-preserving data mining: Developments and directions. Journal of Database Management, 16(1), 75-87.