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Volumn , Issue , 2007, Pages 804-809

On mining closed sets in multi-relational data

Author keywords

[No Author keywords available]

Indexed keywords

BENCH-MARK PROBLEMS; CLOSED SET; RUNTIMES;

EID: 38149114804     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (27)

References (18)
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    • Arimura, H.1    Uno, T.2
  • 3
    • 84867817851 scopus 로고    scopus 로고
    • Mining minimal non-redundant association rules using frequent closed itemsets
    • Proc. of 1st Conference on Computational Logic
    • Y. Bastide, N. Pasquier, R. Taouil, G. Stumme, and L. Lakhal. Mining minimal non-redundant association rules using frequent closed itemsets. In Proc. of 1st Conference on Computational Logic, volume 1861 of LNCS, pages 972-986, 2000.
    • (2000) LNCS , vol.1861 , pp. 972-986
    • Bastide, Y.1    Pasquier, N.2    Taouil, R.3    Stumme, G.4    Lakhal, L.5
  • 6
    • 33947709517 scopus 로고    scopus 로고
    • Discovery of relational association rules
    • L. Dehaspe and H. Toivonen. Discovery of relational association rules. Relational Data Mining, pages 189-208, 2000.
    • (2000) Relational Data Mining , pp. 189-208
    • Dehaspe, L.1    Toivonen, H.2
  • 8
    • 27544478009 scopus 로고    scopus 로고
    • Advances in frequent itemset mining implementations: Report on FIMI'03
    • B. Goethals and M. Zaki. Advances in frequent itemset mining implementations: report on FIMI'03. SIGKDD Explor. Newsl., 6(1):109-117, 2004.
    • (2004) SIGKDD Explor. Newsl. , vol.6 , Issue.1 , pp. 109-117
    • Goethals, B.1    Zaki, M.2
  • 11
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    • Discovering associations between spatial objects: An ILP application
    • Proc. 15th Conference on Inductive Logic Programming
    • D. Malerba and F.A. Lisi. Discovering associations between spatial objects: An ILP application. In Proc. 15th Conference on Inductive Logic Programming, volume 2157 of LNCS, pages 156-163, 2001.
    • (2001) LNCS , vol.2157 , pp. 156-163
    • Malerba, D.1    Lisi, F.A.2
  • 12
    • 0242329359 scopus 로고    scopus 로고
    • Improving efficiency of frequent query discovery by eliminating non-relevant candidates
    • Discovery Science
    • J. Maloberti and E. Suzuki. Improving efficiency of frequent query discovery by eliminating non-relevant candidates. In Discovery Science, volume 2843 of LNCS, pages 220-232, 2003.
    • (2003) LNCS , vol.2843 , pp. 220-232
    • Maloberti, J.1    Suzuki, E.2
  • 14
    • 9444282725 scopus 로고    scopus 로고
    • Efficient frequent query discovery in FARMER
    • Proc. of the 7th PKDD
    • S. Nijssen and J.N. Kok. Efficient frequent query discovery in FARMER. In Proc. of the 7th PKDD, volume 2838 of LNCS, pages 350-362, 2003.
    • (2003) LNCS , vol.2838 , pp. 350-362
    • Nijssen, S.1    Kok, J.N.2
  • 15
    • 0001602577 scopus 로고
    • A note on inductive generalization
    • B. Meltzer and D. Michie, editors, American Elsevier
    • G. D. Plotkin. A note on inductive generalization. In B. Meltzer and D. Michie, editors, Machine Intelligence, pages 153-163. American Elsevier, 1970.
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  • 16
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    • An efficient algorithmfor enumerating closed patterns in transaction databases
    • T. Uno, T. Asai, Y. Uchida, and H. Arimura. An efficient algorithmfor enumerating closed patterns in transaction databases. In Discovery Science, pages 16-31, 2004.
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  • 17
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    • Yan, X.1    Han, J.2
  • 18
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    • Mining non-redundant association rules
    • DOI 10.1023/B:DAMI.0000040429.96086.c7
    • M. Zaki. Mining non-redundant association rules. Data Mining and Knowledge Discovery, 4(3):223-248, 2004. (Pubitemid 39193158)
    • (2004) Data Mining and Knowledge Discovery , vol.9 , Issue.3 , pp. 223-248
    • Zaki, M.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.