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Volumn 66, Issue 1-2, 2005, Pages 53-82

A general framework for mining frequent subgraphs from labeled graphs

Author keywords

Bias; Canonical Form; Data Mining; Frequent Subgraph; Graph Mining; Subgraph Isomorphism

Indexed keywords

COMPUTATIONAL COMPLEXITY; CONSTRAINT THEORY; DATA MINING; DATABASE SYSTEMS; MATRIX ALGEBRA;

EID: 24044522890     PISSN: 01692968     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (12)

References (27)
  • 5
    • 0027652468 scopus 로고
    • Substructure discovery using minimum description length and background knowledge
    • Cook, D. and Holder, L.: Substructure Discovery Using Minimum Description Length and Background Knowledge, Journal of Artificial Intelligence Research, Vol. 1, pp. 231-255, 1994.
    • (1994) Journal of Artificial Intelligence Research , vol.1 , pp. 231-255
    • Cook, D.1    Holder, L.2
  • 12
    • 0037364958 scopus 로고    scopus 로고
    • Complete mining of frequent patterns from graphs: Mining graph data
    • Inokuchi, A., Washio, T., and Motoda, H.: Complete Mining of Frequent Patterns from Graphs: Mining Graph Data, Machine Learning, Vol.50, pp. 321-354, 2003.
    • (2003) Machine Learning , vol.50 , pp. 321-354
    • Inokuchi, A.1    Washio, T.2    Motoda, H.3
  • 13
    • 33645477696 scopus 로고    scopus 로고
    • A general framework for mining frequent patterns in structures
    • RT0513
    • Inokuchi, A., Washio, T., and Motoda, H.: A General Framework for Mining Frequent Patterns in Structures, IBM Research Report, RT0513, 2003.
    • (2003) IBM Research Report
    • Inokuchi, A.1    Washio, T.2    Motoda, H.3
  • 18
    • 12244292385 scopus 로고    scopus 로고
    • An efficient algorithm for discovering frequent subgraphs
    • Kuramochi, M. and Karypis, G.: An Efficient Algorithm for Discovering Frequent Subgraphs, Technical Report, 02-026, 2002.
    • (2002) Technical Report , pp. 02-026
    • Kuramochi, M.1    Karypis, G.2
  • 23
    • 33645477331 scopus 로고    scopus 로고
    • http://oldwww.comlab.ox.ac.uk/oucl/groups/machlearn/PTE
  • 26
    • 0029306031 scopus 로고
    • CLIP: Concept Learning from Inference Patterns
    • Yoshida, K. and Motoda, H.: CLIP: Concept Learning from Inference Patterns, Artificial Intelligence, Vol. 75, No. 1 pp. 63-92, 1995.
    • (1995) Artificial Intelligence , vol.75 , Issue.1 , pp. 63-92
    • Yoshida, K.1    Motoda, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.