메뉴 건너뛰기




Volumn 3495, Issue , 2005, Pages 49-59

Link analysis tools for intelligence and counterterrorism

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; DATA REDUCTION; LAW ENFORCEMENT; SECURITY OF DATA; STATISTICAL METHODS;

EID: 24944497338     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11427995_5     Document Type: Conference Paper
Times cited : (14)

References (17)
  • 1
  • 4
    • 84875193917 scopus 로고    scopus 로고
    • Enron data set, available at http://www-2.cs.cmu.edu/7Eenron/.
    • Enron Data Set
  • 6
    • 84942772223 scopus 로고    scopus 로고
    • Exception rule mining and with relative interestingness measure
    • Proceedings of the Knowledge Discovery and Data Mining, Current Issues and New Applications, 4th Pacific-Asia Conference (PADKK 2000), Kyoto, Japan, Springer
    • Hussain, F., Liu, H., Suzuki, E. and Lu, H. Exception Rule Mining and with Relative Interestingness Measure,in Proceedings of the Knowledge Discovery and Data Mining, Current Issues and New Applications, 4th Pacific-Asia Conference (PADKK 2000), Kyoto, Japan, 2000, Lecture Notes in Computer Science 1805, Springer.
    • (2000) Lecture Notes in Computer Science , vol.1805
    • Hussain, F.1    Liu, H.2    Suzuki, E.3    Lu, H.4
  • 7
    • 1542317694 scopus 로고    scopus 로고
    • Implicit link analysis for small web search
    • Toronto, Canada
    • Hue G., et al, Implicit Link Analysis for Small Web Search, SIGIR-03, Toronto, Canada, 2003.
    • (2003) SIGIR-03
    • Hue, G.1
  • 8
    • 0036753864 scopus 로고    scopus 로고
    • Using dependency/association rules to find indications of computarized tomography in a head trauma dataset
    • September-October, Elsevier
    • Imberman, S.P., Domanski, B. and Thompson, H. W. Using Dependency/Association Rules to Find Indications of Computarized Tomography in a Head Trauma Dataset, Artificial Intelligence in Medicine, 26(1-2), September-October 2002, Elsevier.
    • (2002) Artificial Intelligence in Medicine , vol.26 , Issue.1-2
    • Imberman, S.P.1    Domanski, B.2    Thompson, H.W.3
  • 10
    • 80052121139 scopus 로고    scopus 로고
    • A general measure of rule interestingness
    • Proceedings of Principles of Data Mining and Knowledge Discovery, 5th European Conference (PKDD 2001) Freiburg, Germany, 2001, Springer
    • Jaroszewicz, S. and Simovici, D.A. A General Measure of Rule Interestingness, in Proceedings of Principles of Data Mining and Knowledge Discovery, 5th European Conference (PKDD 2001) Freiburg, Germany, 2001, Lecture Notes in Computer Science 2168, Springer.
    • Lecture Notes in Computer Science , vol.2168
    • Jaroszewicz, S.1    Simovici, D.A.2
  • 12
    • 12244292385 scopus 로고    scopus 로고
    • An efficient algorithm for discovering frequent subgraphs
    • Department of Computer Science, University of Minnesota, http://citeseer.ist.psu.edu/kuramochi02efficient.html
    • Kuramochi M., Karypis G., An Efficient Algorithm for Discovering Frequent Subgraphs, Technical report, Department of Computer Science, University of Minnesota, 2002. http://www.cs.umn.edu/kuram/papers/fsg-long.pdf. http://citeseer.ist.psu.edu/kuramochi02efficient.html
    • (2002) Technical Report
    • Kuramochi, M.1    Karypis, G.2
  • 14
    • 24944454254 scopus 로고    scopus 로고
    • Detecting related message traffic
    • Workshop on Link Analysis, Counterterrorism, and Privacy, Seattle, WA, USA, August
    • Skillicorn D. B., Detecting Related Message Traffic, Workshop on Link Analysis, Counterterrorism, and Privacy, SIAM International Conference on Data Mining 2004, Seattle, WA, USA, August, 2004.
    • (2004) SIAM International Conference on Data Mining 2004
    • Skillicorn, D.B.1
  • 17
    • 4544224894 scopus 로고    scopus 로고
    • Using shortest path algorithms to identify criminal associations
    • Xu J. J., Chen H., Using Shortest Path Algorithms to Identify Criminal Associations, Decision Support Systems, Vol. 38, 2004, pp. 473-487.
    • (2004) Decision Support Systems , vol.38 , pp. 473-487
    • Xu, J.J.1    Chen, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.