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Volumn , Issue , 2007, Pages 399-404

Subgraph support in a single large graph

Author keywords

[No Author keywords available]

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; DATA MINING; DATABASE SYSTEMS; DECISION SUPPORT SYSTEMS; INFORMATION MANAGEMENT; MINING; SEARCH ENGINES;

EID: 49549098568     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDMW.2007.74     Document Type: Conference Paper
Times cited : (64)

References (15)
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    • C. Borgelt and M.R. Berthold. Mining Molecular Fragments: Finding Relevant Substructures of Molecules. Proc. IEEE Int. Conf. on Data Mining (ICDM 2002, Maebashi, Japan), 51-58. IEEE Press, Piscataway, NJ, USA 2002
    • (2002) Proc. IEEE Int. Conf. on Data Mining (ICDM 2002, Maebashi , pp. 51-58
    • Borgelt, C.1    Berthold, M.R.2
  • 2
    • 49549091487 scopus 로고    scopus 로고
    • C. Borgelt. On Canonical Forms for Frequent Graph Mining. Proc. 3rd Int. Workshop on Mining Graphs, Trees and Sequences (MGTS'05, Porto, Portugal), 1-12. ECML/PKDD 2005 Organization Committee, Porto, Portugal 2005
    • C. Borgelt. On Canonical Forms for Frequent Graph Mining. Proc. 3rd Int. Workshop on Mining Graphs, Trees and Sequences (MGTS'05, Porto, Portugal), 1-12. ECML/PKDD 2005 Organization Committee, Porto, Portugal 2005
  • 3
    • 0033899045 scopus 로고    scopus 로고
    • Graph-Based Data Mining
    • IEEE Press, Piscataway, NJ, USA
    • D.J. Cook and L.B. Holder. Graph-Based Data Mining. IEEE Trans. on Intelligent Systems 15(2):32-41. IEEE Press, Piscataway, NJ, USA 2000
    • (2000) IEEE Trans. on Intelligent Systems , vol.15 , Issue.2 , pp. 32-41
    • Cook, D.J.1    Holder, L.B.2
  • 6
    • 0031997218 scopus 로고    scopus 로고
    • Pharmacore Discovery Using the Inductive Logic Programming System PROGOL
    • Kluwer, Amsterdam, Netherlands
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    • (1998) Machine Learning , vol.30 , Issue.2-3 , pp. 241-270
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  • 7
    • 78149328300 scopus 로고    scopus 로고
    • Efficient Mining of Frequent Subgraphs in the Presence of Isomorphism
    • Melbourne, FL, IEEE Press, Piscataway, NJ, USA
    • J. Huan, W. Wang, and J. Prins. Efficient Mining of Frequent Subgraphs in the Presence of Isomorphism. Proc. 3rd IEEE Int. Conf. on Data Mining (ICDM 2003, Melbourne, FL), 549-552. IEEE Press, Piscataway, NJ, USA 2003
    • (2003) Proc. 3rd IEEE Int. Conf. on Data Mining (ICDM 2003 , pp. 549-552
    • Huan, J.1    Wang, W.2    Prins, J.3
  • 8
    • 33646433881 scopus 로고
    • Institute of Scientific Information, Inc, ISI, Thomson Scientific, Philadelphia, PA, USA
    • Index Chemicus - Subset from 1993. Institute of Scientific Information, Inc. (ISI). Thomson Scientific, Philadelphia, PA, USA 1993 http://www.thomsonscientific.com/products/indexchemicus/
    • (1993) Index Chemicus - Subset from 1993
  • 11
    • 2942592528 scopus 로고    scopus 로고
    • Finding Frequent Patterns in a Large Sparse Graph
    • Lake Buena Vista, FL, Society for Industrial and Applied Mathematics, Philadelphia, PA, USA
    • M. Kuramochi and G. Karypis. Finding Frequent Patterns in a Large Sparse Graph. Proc. 4th SIAM Int. Conf. on Data Mining (SDM 2004, Lake Buena Vista, FL). Society for Industrial and Applied Mathematics, Philadelphia, PA, USA 2004
    • (2004) Proc. 4th SIAM Int. Conf. on Data Mining (SDM 2004
    • Kuramochi, M.1    Karypis, G.2
  • 12
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    • S. Nijssen and J.N. Kok. A Quickstart in Frequent Structure Mining Can Make a Difference. Proc. 10th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD2004, Seattle, WA), 647-652. ACM Press, New York, NY, USA 2004
    • S. Nijssen and J.N. Kok. A Quickstart in Frequent Structure Mining Can Make a Difference. Proc. 10th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD2004, Seattle, WA), 647-652. ACM Press, New York, NY, USA 2004
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    • X. Yan and J. Han. gSpan: Graph-Based Substructure Pattern Mining. Proc. 2nd IEEE Int. Conf. on Data Mining (ICDM 2003, Maebashi, Japan), 721-724. IEEE Press, Piscataway, NJ, USA 2002
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