메뉴 건너뛰기




Volumn , Issue , 2001, Pages 313-320

Frequent subgraph discovery

Author keywords

[No Author keywords available]

Indexed keywords


EID: 78149312583     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (908)

References (23)
  • 2
    • 0001882616 scopus 로고
    • Fast algorithms for mining association rules
    • Morgan Kaufmann
    • R. Agrawal and R. Srikant. Fast algorithms for mining association rules. In Proc. the 20th VLDB, pages 487-499. Morgan Kaufmann, 1994.
    • (1994) Proc. the 20th VLDB , pp. 487-499
    • Agrawal, R.1    Srikant, R.2
  • 3
    • 0029212693 scopus 로고
    • Mining sequential patterns
    • IEEE Press
    • R. Agrawal and R. Srikant. Mining sequential patterns. In Proc. the 11th ICDE, pages 3-14. IEEE Press, 1995.
    • (1995) Proc. the 11th ICDE , pp. 3-14
    • Agrawal, R.1    Srikant, R.2
  • 5
    • 84880088183 scopus 로고    scopus 로고
    • Finding frequent substructures in chemical compounds
    • AAAI Press
    • L. Dehaspe, H. Toivonen, and R. D. King. Finding frequent substructures in chemical compounds. In Proc. the 4th ACM SIGKDD KDD-98, pages 30-36. AAAI Press, 1998.
    • (1998) Proc. the 4th ACM SIGKDD KDD-98 , pp. 30-36
    • Dehaspe, L.1    Toivonen, H.2    King, R.D.3
  • 7
    • 0008690083 scopus 로고    scopus 로고
    • Technical Report TR96-20, Department of Computing Science, University of Alberta
    • S. Fortin. The graph isomorphism problem. Technical Report TR96-20, Department of Computing Science, University of Alberta, 1996.
    • (1996) The Graph Isomorphism Problem
    • Fortin, S.1
  • 9
    • 0039253846 scopus 로고    scopus 로고
    • Mining frequent patterns without candidate generation
    • J. Han, J. Pei, and Y. Yin. Mining frequent patterns without candidate generation. In Proc. ACM SIGMOD, 2000.
    • Proc. ACM SIGMOD, 2000
    • Han, J.1    Pei, J.2    Yin, Y.3
  • 11
    • 84974733299 scopus 로고    scopus 로고
    • An apriori-based algorithm for mining frequent substructures from graph data
    • A. Inokuchi, T. Washio, and H. Motoda. An apriori-based algorithm for mining frequent substructures from graph data. In Proc. PKDD'00, pages 13-23, 2000.
    • (2000) Proc. PKDD'00 , pp. 13-23
    • Inokuchi, A.1    Washio, T.2    Motoda, H.3
  • 13
    • 2442537553 scopus 로고    scopus 로고
    • Technical Report 01-028, Department of Computer Science, University of Minnesota
    • M. Kuramochi and G. Karypis. Frequent subgraph discovery. Technical Report 01-028, Department of Computer Science, University of Minnesota, 2001.
    • (2001) Frequent Subgraph Discovery
    • Kuramochi, M.1    Karypis, G.2
  • 14
    • 49549097832 scopus 로고    scopus 로고
    • An efficient A* based algorithm for optimal graph matching applied to computer vision
    • D. A. L. Piriyakumar and P. Levi. An efficient A* based algorithm for optimal graph matching applied to computer vision. In GRWSIA-98, 1998.
    • (1998) GRWSIA-98
    • Piriyakumar, D.A.L.1    Levi, P.2
  • 15
    • 78149305720 scopus 로고    scopus 로고
    • http://oldwww.comlab.ox.ac.uk/oucl/groups/machlearn/PTE/.
  • 19
    • 0016870630 scopus 로고
    • An algorithm for subgraph isomorphism
    • J. R. Ullman. An algorithm for subgraph isomorphism. Journal of the ACM, 23(1):31-42, 1976.
    • (1976) Journal of the ACM , vol.23 , Issue.1 , pp. 31-42
    • Ullman, J.R.1
  • 20
    • 0029306031 scopus 로고
    • CLIP: Concept learning from inference patterns
    • K. Yoshida and H. Motoda. CLIP: Concept learning from inference patterns. Artificial Intelligence, 75(1):63-92, 1995.
    • (1995) Artificial Intelligence , vol.75 , Issue.1 , pp. 63-92
    • Yoshida, K.1    Motoda, H.2
  • 21
    • 0033718951 scopus 로고    scopus 로고
    • Scalable algorithms for association mining
    • M. J. Zaki. Scalable algorithms for association mining. Knowledge and Data Engineering, 12(2):372-390, 2000.
    • (2000) Knowledge and Data Engineering , vol.12 , Issue.2 , pp. 372-390
    • Zaki, M.J.1
  • 22
    • 0008721810 scopus 로고    scopus 로고
    • Technical Report 01-1, Department of Computer Science, Rensselaer Polytechnic Institute
    • M. J. Zaki and K. Gouda. Fast vertical mining using diffsets. Technical Report 01-1, Department of Computer Science, Rensselaer Polytechnic Institute, 2001.
    • (2001) Fast Vertical Mining Using Diffsets
    • Zaki, M.J.1    Gouda, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.