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Volumn , Issue , 2006, Pages 885-890

GraphRank: Statistical modeling and mining of significant subgraphs in the feature space

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE VECTORS; ITEMSET MINING;

EID: 84878102536     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2006.79     Document Type: Conference Paper
Times cited : (28)

References (17)
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    • Rahm, E.1    Bernstein, P.2
  • 3
    • 77952376110 scopus 로고    scopus 로고
    • S. White and P. Smyth. Algorithms for estimating relative importance in networks. In KDD, 2003.
    • S. White and P. Smyth. Algorithms for estimating relative importance in networks. In KDD, 2003.
  • 6
    • 0035789622 scopus 로고    scopus 로고
    • S. Kramer, L. D. Raedt, and C. Helma. Molecular feature mining in HIV data. In KDD, 2001.
    • S. Kramer, L. D. Raedt, and C. Helma. Molecular feature mining in HIV data. In KDD, 2001.
  • 8
    • 78149312583 scopus 로고    scopus 로고
    • Frequent subgraph discovery
    • M. Kuramochi and G. Karypis. Frequent subgraph discovery. In ICDM, pages 313-320, 2001.
    • (2001) ICDM , pp. 313-320
    • Kuramochi, M.1    Karypis, G.2
  • 9
    • 78149333073 scopus 로고    scopus 로고
    • gSpan: Graph-based substructure pattern mining
    • X. Yan and J. Han. gSpan: Graph-based substructure pattern mining. In ICDM, 2002.
    • (2002) ICDM
    • Yan, X.1    Han, J.2
  • 10
    • 77952334885 scopus 로고    scopus 로고
    • X. Yan and J. Han. CloseGraph: Mining closed frequent graph patterns. In KDD, 2003.
    • X. Yan and J. Han. CloseGraph: Mining closed frequent graph patterns. In KDD, 2003.
  • 11
    • 78149328300 scopus 로고    scopus 로고
    • Efficient mining of frequent subgraph in the presence of isomorphism
    • J. Huan, W. Wang, and J. Prins. Efficient mining of frequent subgraph in the presence of isomorphism. In ICDM, 2003.
    • (2003) ICDM
    • Huan, J.1    Wang, W.2    Prins, J.3
  • 12
    • 12244294770 scopus 로고    scopus 로고
    • J. Huan, W. Wang, J. Prins, and J. Yang. SPIN: Mining maximal frequent subgraphs from graph databases. In KDD, 2004.
    • J. Huan, W. Wang, J. Prins, and J. Yang. SPIN: Mining maximal frequent subgraphs from graph databases. In KDD, 2004.
  • 13
    • 78149322987 scopus 로고    scopus 로고
    • Computing frequent graph patterns from semistructured data
    • N. Vanetik, E. Gudes, and S. E. Shimony. Computing frequent graph patterns from semistructured data. In Proceedings of ICDM, 2002.
    • (2002) Proceedings of ICDM
    • Vanetik, N.1    Gudes, E.2    Shimony, S.E.3
  • 14
    • 2442423029 scopus 로고    scopus 로고
    • Mining frequent labeled and partially labeled graph patterns
    • N. Vanetik and E. Gudes. Mining frequent labeled and partially labeled graph patterns. In ICDE, 2004.
    • (2004) ICDE
    • Vanetik, N.1    Gudes, E.2
  • 17
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    • GraphRank: Statistical modeling and mining of significant subgraphs in the feature space
    • Technical report, department of computer science, University of California at Santa Barbara
    • Huahai He and Ambuj K. Singh. GraphRank: Statistical modeling and mining of significant subgraphs in the feature space. Technical report, department of computer science, University of California at Santa Barbara, 2006.
    • (2006)
    • He, H.1    Singh, A.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.