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Volumn 4213 LNAI, Issue , 2006, Pages 55-66

Don't be afraid of simpler patterns

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; DATA MINING; DATA STRUCTURES; DATABASE SYSTEMS; FORMAL LANGUAGES; GRAPH THEORY; LEARNING SYSTEMS;

EID: 33750340279     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11871637_10     Document Type: Conference Paper
Times cited : (46)

References (15)
  • 1
    • 0242709382 scopus 로고    scopus 로고
    • Efficiently mining frequent trees in a forest
    • Hand, D., Keim, D., Ng, R., eds.
    • Zaki, M.: Efficiently mining frequent trees in a forest. In Hand, D., Keim, D., Ng, R., eds.: KDD. (2002) 71-80
    • (2002) KDD , pp. 71-80
    • Zaki, M.1
  • 2
    • 78149333073 scopus 로고    scopus 로고
    • gSpan: Graph-based substructure pattern mining
    • Yan, X., Han, J.: gSpan: Graph-based substructure pattern mining. In: ICDM. (2002) 721-724
    • (2002) ICDM , pp. 721-724
    • Yan, X.1    Han, J.2
  • 3
    • 0035789622 scopus 로고    scopus 로고
    • Molecular feature mining in HIV data
    • Kramer, S., De Raedt, L., Helma, C.: Molecular feature mining in HIV data. In: KDD. (2001) 136-143
    • (2001) KDD , pp. 136-143
    • Kramer, S.1    De Raedt, L.2    Helma, C.3
  • 4
    • 0002221136 scopus 로고
    • Fast algorithms for mining association rules in large databases
    • Agrawal, R., Srikant, R.: Fast algorithms for mining association rules in large databases. In: VLDB. (1994) 487-499
    • (1994) VLDB , pp. 487-499
    • Agrawal, R.1    Srikant, R.2
  • 5
    • 0033687894 scopus 로고    scopus 로고
    • Traversing itemset lattices with statistical metric pruning
    • Morishita, S., Sese, J.: Traversing itemset lattices with statistical metric pruning. In: PODS. (2000) 226-236
    • (2000) PODS , pp. 226-236
    • Morishita, S.1    Sese, J.2
  • 6
    • 35048886120 scopus 로고    scopus 로고
    • Corclass: Correlated association rule mining for classification
    • Suzuki, E., Arikawa, S., eds.
    • Zimmermann, A., De Raedt, L.: Corclass: Correlated association rule mining for classification. In Suzuki, E., Arikawa, S., eds.: DS. (2004) 60-72
    • (2004) DS , pp. 60-72
    • Zimmermann, A.1    De Raedt, L.2
  • 7
    • 4043167653 scopus 로고    scopus 로고
    • Data mining and machine learning techniques for the identification of mutagenicity inducing substructures and structure activity relationships of noncongeneric compounds
    • Helma, C., Cramer, T., Kramer, S., De Raedt, L.: Data mining and machine learning techniques for the identification of mutagenicity inducing substructures and structure activity relationships of noncongeneric compounds. Journal of Chemical Information and Computer Systems 44 (2004) 1402-1411
    • (2004) Journal of Chemical Information and Computer Systems , vol.44 , pp. 1402-1411
    • Helma, C.1    Cramer, T.2    Kramer, S.3    De Raedt, L.4
  • 9
    • 85149612939 scopus 로고
    • Fast effective rule induction
    • Prieditis, A., Russell, S.J., eds.
    • Cohen, W.W.: Fast effective rule induction. In Prieditis, A., Russell, S.J., eds.: ICML. (1995) 115-123
    • (1995) ICML , pp. 115-123
    • Cohen, W.W.1
  • 13
    • 12244294066 scopus 로고    scopus 로고
    • A quickstart in frequent structure mining can make a difference
    • Nijssen, S., Kok, J.N.: A quickstart in frequent structure mining can make a difference. In: KDD. (2004) 647-652
    • (2004) KDD , pp. 647-652
    • Nijssen, S.1    Kok, J.N.2
  • 14
    • 12244278576 scopus 로고    scopus 로고
    • Cyclic pattern kernels for predictive graph mining
    • Horváth, T., Gärtner, T., Wrobel, S.: Cyclic pattern kernels for predictive graph mining. In: KDD. (2004) 158-167
    • (2004) KDD , pp. 158-167
    • Horváth, T.1    Gärtner, T.2    Wrobel, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.