메뉴 건너뛰기




Volumn 2637, Issue , 2003, Pages 40-51

An efficient algorithm of frequent connected subgraph extraction

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; DATA PROCESSING; GRAPH THEORY; MARKETING; PERFORMANCE; ALGORITHMS; TOPOLOGY;

EID: 7444259139     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/3-540-36175-8_5     Document Type: Conference Paper
Times cited : (9)

References (25)
  • 1
    • 0027621699 scopus 로고
    • Mining association rules between sets of items in large databases
    • Agrawal, R., et al: Mining association rules between sets of items in large databases. In: Proc. of ACM SIGMOD (1993) 207-216
    • (1993) Proc. of ACM SIGMOD , pp. 207-216
    • Agrawal, R.1
  • 2
    • 0001882616 scopus 로고
    • Fast algorithms for mining association rules in large databases
    • Agrawal, R., et al: Fast algorithms for mining association rules in large databases. In: Proc. of VLDB (1994) 487-499.
    • (1994) Proc. of VLDB , pp. 487-499
    • Agrawal, R.1
  • 3
    • 84976830511 scopus 로고
    • An effective hash based algorithm for mining association rules
    • Park, J.S., et al: An Effective Hash Based Algorithm for Mining Association Rules. In: Proc. of ACM SIGMOD (1995) 175-186
    • (1995) Proc. of ACM SIGMOD , pp. 175-186
    • Park, J.S.1
  • 4
    • 0031162961 scopus 로고    scopus 로고
    • Dynamic itemset counting and implication rules for market basket data
    • Brin, S., et al: Dynamic itemset counting and implication rules for market basket data. In: Proc. of ACM SIGMOD (1997) 255-264
    • (1997) Proc. of ACM SIGMOD , pp. 255-264
    • Brin, S.1
  • 5
    • 0039253846 scopus 로고    scopus 로고
    • Mining frequent patterns without candidate generation
    • Han, J., et al: Mining frequent patterns without candidate generation. In: Proc. of ACM SIGMOD (2000) 1-12
    • (2000) Proc. of ACM SIGMOD , pp. 1-12
    • Han, J.1
  • 6
    • 85025192644 scopus 로고
    • The graph isomorphism disease
    • Read, R. C., et al: The graph isomorphism disease. J. of Graph Theory, 4 (1977) 339-363
    • (1977) J. of Graph Theory , vol.4 , pp. 339-363
    • Read, R.C.1
  • 7
    • 0020918135 scopus 로고
    • Canonical labeling of graphs
    • Babai, L., et al: Canonical labeling of graphs. In: Proc. of ACM STOC (1983) 171-183.
    • (1983) Proc. of ACM STOC , pp. 171-183
    • Babai, L.1
  • 8
    • 84974733299 scopus 로고    scopus 로고
    • An apriori-based algorithm for mining frequent substructures from graph data
    • LNCS Springer
    • Inokuchi, A., et al: An apriori-based algorithm for mining frequent substructures from graph data. In: Proc. of PKDD, LNCS, Vol. 1910, Springer (2000) 13-23
    • (2000) Proc. of PKDD , vol.1910 , pp. 13-23
    • Inokuchi, A.1
  • 9
    • 84936876447 scopus 로고    scopus 로고
    • Applying algebraic mining method of graph substructures to mutageniesis data analysis
    • PAKDD
    • Inokuchi, A., et al: Applying algebraic mining method of graph substructures to mutageniesis data analysis. In: KDD Challenge, PAKDD (2000) 41-46.
    • (2000) KDD Challenge , pp. 41-46
    • Inokuchi, A.1
  • 10
    • 4544296752 scopus 로고    scopus 로고
    • A fast algorithms for mining frequent connected subgraphs
    • Tokyo Research Laboratory
    • Inokuchi, A., et al: A fast algorithms for mining frequent connected subgraphs. Research Report RT0448, IBM Research, Tokyo Research Laboratory (2002)
    • (2002) Research Report RT0448, IBM Research
    • Inokuchi, A.1
  • 11
    • 78149312583 scopus 로고    scopus 로고
    • Frequent subgraph discovery
    • Kuramochi, M., et al: Frequent subgraph discovery. In: Proc. of IEEE ICDM (2001) 313-320.
    • (2001) Proc. of IEEE ICDM , pp. 313-320
    • Kuramochi, M.1
  • 12
    • 12244292385 scopus 로고    scopus 로고
    • An efficient algorithm for discovering frequent subgraph
    • University of Minnesota
    • Kuramochi, M., et al: An efficient algorithm for discovering frequent subgraph. Technical Report 02-026, Dept. of Computer Science, University of Minnesota (2002)
    • (2002) Technical Report 02-026, Dept. of Computer Science
    • Kuramochi, M.1
  • 13
    • 0035016443 scopus 로고    scopus 로고
    • PrefixSpan: Mining sequential patterns by prefix-projected growth
    • Pei, J., et al: PrefixSpan: Mining sequential patterns by prefix-projected growth. In: Proc. of ICDE (2001) 215-224.
    • (2001) Proc. of ICDE , pp. 215-224
    • Pei, J.1
  • 14
    • 0027652468 scopus 로고
    • Substructure discovery using minimum description length and background knowledge
    • Cook, D. J., et al: Substructure discovery using minimum description length and background knowledge. J. of Artificial Intelligence Research 1 (1994) 231-255
    • (1994) J. of Artificial Intelligence Research , vol.1 , pp. 231-255
    • Cook, D.J.1
  • 15
    • 0029306031 scopus 로고
    • CLIP: Concept learning from inference patterns
    • Yoshida, K., et al: CLIP: Concept learning from inference patterns. Artificial Intelligence 1 (1995) 63-92
    • (1995) Artificial Intelligence , vol.1 , pp. 63-92
    • Yoshida, K.1
  • 16
    • 12744258471 scopus 로고    scopus 로고
    • Machine learning techniques to make computers easier to use
    • Motoda, H., et al: Machine learning techniques to make computers easier to use. In: Proc. of IJCAI, Vol. 2 (1997) 1622-1631
    • (1997) Proc. of IJCAI , vol.2 , pp. 1622-1631
    • Motoda, H.1
  • 17
    • 84942747111 scopus 로고    scopus 로고
    • Extension of graph-based induction for general graph structured data
    • LNCS Springer
    • Matsuda, T., et al: Extension of graph-based induction for general graph structured data. In: Proc. of PAKDD, LNCS, Vol. 1805, Springer (2000) 420-431
    • (2000) Proc. of PAKDD , vol.1805 , pp. 420-431
    • Matsuda, T.1
  • 18
    • 84947447467 scopus 로고    scopus 로고
    • Knowledge discovery from structured data by beam-wise graph-based induction
    • LNCS Springer
    • Matsuda, T., et al: Knowledge discovery from structured data by beam-wise graph-based induction. In: Proc. of PRICAI, LNCS, Vol. 2417, Springer (2002) 255-264
    • (2002) Proc. of PRICAI , vol.2417 , pp. 255-264
    • Matsuda, T.1
  • 19
    • 84880874770 scopus 로고    scopus 로고
    • The levelwise version space algorithm and its application to molecular fragment finding
    • Raedt, L. De, et al: The levelwise version space algorithm and its application to molecular fragment finding. In: Proc. of IJCAI Vol. 2 (2001) 853-862.
    • (2001) Proc. of IJCAI , vol.2 , pp. 853-862
    • De Raedt, L.1
  • 20
    • 84880088183 scopus 로고    scopus 로고
    • Finding frequent substructures in chemical compounds
    • Dehaspe, L., et al: Finding frequent substructures in chemical compounds. In: Proc. of KDD (1998) 30-36
    • (1998) Proc. of KDD , pp. 30-36
    • Dehaspe, L.1
  • 21
    • 0035789622 scopus 로고    scopus 로고
    • Molecular feature mining in HIV data
    • Kramer, S., et al: Molecular feature mining in HIV data. In: Proc. of ACM SIGKDD (2001) 136-143
    • (2001) Proc. of ACM SIGKDD , pp. 136-143
    • Kramer, S.1
  • 24
    • 0036650077 scopus 로고    scopus 로고
    • Finding patterns in three dimensional graphs: Algorithms and applications to scientific data mining
    • Wang, X., et al: Finding patterns in three dimensional graphs: Algorithms and applications to scientific data mining. IEEE TKDE 4 (2002) 731-749
    • (2002) IEEE TKDE , vol.4 , pp. 731-749
    • Wang, X.1
  • 25
    • 78149333073 scopus 로고    scopus 로고
    • GSpan: Graph-based substructure pattern mining
    • Yan, X., et al: gSpan: Graph-based substructure pattern mining. In: Proc. of IEEE ICDM (2002)
    • (2002) Proc. of IEEE ICDM
    • Yan, X.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.