메뉴 건너뛰기




Volumn , Issue , 2011, Pages 675-684

Interesting multi-relational patterns

Author keywords

[No Author keywords available]

Indexed keywords

CONNECTED SUBGRAPHS; DATA MINERS; DATA MINING COMMUNITY; EFFICIENT ALGORITHM; INTERESTINGNESS; K-PARTITE GRAPH; PRIOR INFORMATION; RESEARCH PROBLEMS; SYNTHETIC DATABASE;

EID: 84857164628     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2011.82     Document Type: Conference Paper
Times cited : (24)

References (23)
  • 2
    • 80855141626 scopus 로고    scopus 로고
    • Maximum entropy models and subjective interestingness: An application to tiles in binary databases
    • T. De Bie. Maximum entropy models and subjective interestingness: an application to tiles in binary databases. Data Mining and Knowledge Discovery, 2011.
    • (2011) Data Mining and Knowledge Discovery
    • De Bie, T.1
  • 8
    • 33749319347 scopus 로고    scopus 로고
    • Interestingness measures for data mining: A survey
    • L. Geng and H. J. Hamilton. Interestingness measures for data mining: A survey. ACM Computing Surveys., 38, 2006.
    • (2006) ACM Computing Surveys , vol.38
    • Geng, L.1    Hamilton, H.J.2
  • 12
    • 0001460568 scopus 로고
    • Cliques of a graph-variations on the Bron- Kerbosch algorithm
    • H. C. Johnston. Cliques of a graph-variations on the Bron- Kerbosch algorithm. International Journal of Parallel Programming, 5:209-238, 1976.
    • (1976) International Journal of Parallel Programming , vol.5 , pp. 209-238
    • Johnston, H.C.1
  • 20
    • 78149333073 scopus 로고    scopus 로고
    • Gspan: Graph-based substructure pattern mining
    • X. Yan and J. Han. gspan: Graph-based substructure pattern mining. In Proc of the ICDM'02, pages 721-730, 2002.
    • (2002) Proc of the ICDM'02 , pp. 721-730
    • Yan, X.1    Han, J.2
  • 23
    • 33845981111 scopus 로고    scopus 로고
    • Clicks: An effective algorithm for mining subspace clusters in categorical datasets
    • M. Zaki, M. Peters, I. Assent, and T. Seidl. Clicks: An effective algorithm for mining subspace clusters in categorical datasets. Data and Knowledge Engineering, 60(1):51-70, 2007.
    • (2007) Data and Knowledge Engineering , vol.60 , Issue.1 , pp. 51-70
    • Zaki, M.1    Peters, M.2    Assent, I.3    Seidl, T.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.