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Volumn , Issue , 2006, Pages 237-243

Performance analysis of frequent itemset mining using hybrid database representation approach

Author keywords

Association rules mining; Data mining; Frequent itemset mining; Maximal frequent itemset mining

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; BENCHMARKING; BOOLEAN FUNCTIONS; COMBINES; DATABASE SYSTEMS; DECISION SUPPORT SYSTEMS; INFORMATION MANAGEMENT; KNOWLEDGE MANAGEMENT; MINING; SEARCH ENGINES;

EID: 46449133650     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/INMIC.2006.358170     Document Type: Conference Paper
Times cited : (3)

References (14)
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  • 5
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    • Gouda, K.1    Zaki, M.J.2
  • 8
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    • Mining frequent patterns without candidate generation
    • J. Han, J. Pei, and Y. Yin, "Mining frequent patterns without candidate generation", In SIGMOD, pages 1-12, 2000.
    • (2000) In SIGMOD , pp. 1-12
    • Han, J.1    Pei, J.2    Yin, Y.3
  • 9
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    • Mining frequent item sets by opportunistic projection
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    • (2002) Proc. of KDD Conf
    • Liu, J.1    Pan, Y.2    Wang, K.3    Han, J.4
  • 10
    • 26944476750 scopus 로고    scopus 로고
    • Ascending frequency ordered prefix-tree: Efficient mining of frequent patterns
    • G. Liu, H. Lu, Y. Xu, and J. X. Yu, "Ascending frequency ordered prefix-tree: Efficient mining of frequent patterns", In DASFAA, 2003.
    • (2003) DASFAA
    • Liu, G.1    Lu, H.2    Xu, Y.3    Yu, J.X.4
  • 11
    • 78149320187 scopus 로고    scopus 로고
    • J. Pei, J. Han, H. Lu, S. Nishio, S. Tang and D. Yang, H-Mine: Hyper-structure mining of frequent patterns in large databases, In Proc. of ICDM Conf., pp. 441.448, 2001.
    • J. Pei, J. Han, H. Lu, S. Nishio, S. Tang and D. Yang, "H-Mine: Hyper-structure mining of frequent patterns in large databases", In Proc. of ICDM Conf., pp. 441.448, 2001.
  • 12
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    • A. Pietracaprina and D. Zandolin, Mining Frequent Itemsets Using Patricia Tries, Proc. IEEE ICDM Workshop Frequent Itemset Mining Implementations, CEUR Workshop Proc., 80, Nov. 2003.
    • A. Pietracaprina and D. Zandolin, "Mining Frequent Itemsets Using Patricia Tries," Proc. IEEE ICDM Workshop Frequent Itemset Mining Implementations, CEUR Workshop Proc., vol. 80, Nov. 2003.
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    • Charm: An efficient algorithm for closed association rule mining
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.