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Volumn , Issue , 2004, Pages 51-58

Diagonally subgraphs pattern mining

Author keywords

frequent subgraphs; graph mining; pattern discovery

Indexed keywords

APRIORI ALGORITHMS; CANDIDATE GENERATION; EFFECTIVE ALGORITHMS; EFFICIENT ALGORITHM; FREQUENT PATTERNS; FREQUENT SUBGRAPHS; GRAPH MINING; PATTERN DISCOVERY; PATTERN MINING; SEARCH SPACES; STATE OF THE ART; SUBGRAPHS;

EID: 77953973364     PISSN: 07308078     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1008694.1008702     Document Type: Conference Paper
Times cited : (9)

References (14)
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  • 3
    • 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 ICDM'02.
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  • 4
    • 2442483205 scopus 로고    scopus 로고
    • Mining molecular fragments: Finging relevant substructures of molecules
    • C. Borgelt and M. R. Berthold. Mining molecular fragments: Finging relevant substructures of molecules. In ICDM'02.
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    • Borgelt, C.1    Berthold, M.R.2
  • 5
    • 34547982227 scopus 로고    scopus 로고
    • gSpan: Graph-based substructure pattern mining
    • a 4-page short version in ICDM'02
    • X. Yan, J. Han. gSpan: Graph-based substructure pattern mining. UIUC-CS Tech. Report: R-2002-2296 (a 4-page short version in ICDM'02).
    • UIUC-CS Tech. Report: R-2002-2296
    • Yan, X.1    Han, J.2
  • 6
    • 78149328300 scopus 로고    scopus 로고
    • Efficient Mining of Frequent Subgraphs in the Presence of Isomorphism
    • Jun Huan, Wei Wang, Jan Prins. Efficient Mining of Frequent Subgraphs in the Presence of Isomorphism. In. ICDM'03.
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    • Huan, J.1    Wang, W.2    Prins, J.3
  • 8
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    • Efficiently mining frequent trees in a forest
    • M. J. Zaki. Efficiently mining frequent trees in a forest. In SIGKDD'02.
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  • 10
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    • Fast algorithms for mining association rules
    • Sept
    • R. Agrawal and R. Srikant. Fast algorithms for mining association rules. In VLDB'94, pages 487-499, Sept. 1994.
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  • 11
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    • Mining Frequent Labeled and Partially Labeled Graph Patterns
    • N. Vanetik, E. Gudes. Mining Frequent Labeled and Partially Labeled Graph Patterns. In ICDE'04.
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  • 14
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    • MAFIA: A maximal frequent itemset algorithm for transactional databases
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.