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Volumn 2600, Issue , 2003, Pages 226-234

Algorithms for association rules

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; ASSOCIATION RULES; DATA MINING; LEARNING ALGORITHMS; LEARNING SYSTEMS;

EID: 33744776550     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-36434-x_7     Document Type: Article
Times cited : (19)

References (10)
  • 1
    • 0001882616 scopus 로고
    • Fast algorithms for mining association rules
    • Jorge B. Bocca, Matthias Jarke, and Carlo Zaniolo, editors, Morgan Kaufmann, 12-15
    • Rakesh Agrawal and Ramakrishnan Srikant. Fast algorithms for mining association rules. In Jorge B. Bocca, Matthias Jarke, and Carlo Zaniolo, editors, Proc. 20th Int. Conf. Very Large Data Bases, VLDB, pages 487-499. Morgan Kaufmann, 12-15 1994.
    • (1994) Proc. 20th Int. Conf. Very Large Data Bases, VLDB , pp. 487-499
    • Agrawal, R.1    Srikant, R.2
  • 3
    • 0003792198 scopus 로고    scopus 로고
    • Springer-Verlag, Berlin, Mathematical foundations, Translated from the 1996 German original by Cornelia Franzke
    • Bernhard Ganter and Rudolf Wille. Formal concept analysis. Springer-Verlag, Berlin, 1999. Mathematical foundations, Translated from the 1996 German original by Cornelia Franzke.
    • (1999) Formal Concept Analysis
    • Ganter, B.1    Wille, R.2
  • 4
    • 0039253846 scopus 로고    scopus 로고
    • Mining frequent patterns without candidate generation
    • Weidong Chen, Jeffrey Naughton, and Philip A. Bernstein, editors, ACM Press, 05
    • Jiawei Han, Jian Pei, and Yiwen Yin. Mining frequent patterns without candidate generation. In Weidong Chen, Jeffrey Naughton, and Philip A. Bernstein, editors, 2000 ACM SIGMOD Intl. Conference on Management of Data, pages 1-12. ACM Press, 05 2000.
    • (2000) 2000 ACM SIGMOD Intl. Conference on Management of Data , pp. 1-12
    • Han, J.1    Pei, J.2    Yin, Y.3
  • 5
    • 84942847271 scopus 로고    scopus 로고
    • Evaluation of interestingness measures for ranking discovered knowledge
    • 247-??
    • Robert J. Hilderman and Howard J. Hamilton. Evaluation of interestingness measures for ranking discovered knowledge. Lecture Notes in Computer Science, 2035:247-??, 2001.
    • (2001) Lecture Notes in Computer Science , vol.2035
    • Hilderman, R.J.1    Hamilton, H.J.2
  • 10
    • 0347709684 scopus 로고    scopus 로고
    • CHARM: An efficient algorithm for closed itemset mining
    • R. Grossman, J. Han, V. Kumar, H. Mannila, and R. Motwani, editors, SIAM
    • M. J. Zaki and C. Hsiao. CHARM: An efficient algorithm for closed itemset mining. In R. Grossman, J. Han, V. Kumar, H. Mannila, and R. Motwani, editors, Proceedings of the Second SIAM International Conference on Data Mining. SIAM, 2002. http://www.siam.org/meetings/sdm02/proceedings/.
    • (2002) Proceedings of the Second SIAM International Conference on Data Mining
    • Zaki, M.J.1    Hsiao, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.