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Volumn , Issue , 2005, Pages 1109-1110

Scrutinizing frequent pattern discovery performance

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING TECHNICAL SOLUTIONS; RIGOROUS EVALUATION;

EID: 28444499666     PISSN: 10844627     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDE.2005.127     Document Type: Conference Paper
Times cited : (3)

References (18)
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    • Bayardo, R.J.1
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    • Dualminer: A dual-pruning algorithm for itemsets with constraints
    • C. Bucila, J. Gehrke, D. Kifer, and W. White. Dualminer: A dual-pruning algorithm for itemsets with constraints. ACM SIGKDD, 2002.
    • (2002) ACM SIGKDD
    • Bucila, C.1    Gehrke, J.2    Kifer, D.3    White, W.4
  • 5
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    • Mafia: A maximal frequent itemset algorithm for transactional databases
    • D. Burdick, M. Calimlim, and J. Gehrke. Mafia: A maximal frequent itemset algorithm for transactional databases. IEEE ICDE, 2001.
    • (2001) IEEE ICDE
    • Burdick, D.1    Calimlim, M.2    Gehrke, J.3
  • 6
    • 33744794346 scopus 로고    scopus 로고
    • Inverted matrix: Efficient discovery of frequent items in large datasets in the context of interactive mining
    • M. El-Hajj and O. R. Zaïane. Inverted matrix: Efficient discovery of frequent items in large datasets in the context of interactive mining. ACM SIGKDD, 2003.
    • (2003) ACM SIGKDD
    • El-Hajj, M.1    Zaïane, O.R.2
  • 8
    • 28444440315 scopus 로고    scopus 로고
    • Efficiently mining maximal frequent itemsets
    • K. Gouda and M. J. Zaki. Efficiently mining maximal frequent itemsets. IEEE ICDM, 2001.
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    • Gouda, K.1    Zaki, M.J.2
  • 10
    • 0039253846 scopus 로고    scopus 로고
    • Mining frequent patterns without candidate generation
    • J. Han, J. Pei, and Y. Yin. Mining frequent patterns without candidate generation. ACM-SIGMOD, 2000.
    • (2000) ACM-SIGMOD
    • Han, J.1    Pei, J.2    Yin, Y.3
  • 12
    • 84875118998 scopus 로고    scopus 로고
    • Exploratory mining via constraint frequent set queries
    • R. Ng, L. Lakshmanan, J. Han, and T. Mah. Exploratory mining via constraint frequent set queries. ACM SIGMOD, 1999.
    • (1999) ACM SIGMOD
    • Ng, R.1    Lakshmanan, L.2    Han, J.3    Mah, T.4
  • 13
    • 28444469870 scopus 로고    scopus 로고
    • Can we push more constraints into frequent pattern mining?
    • J. Pie and J. Han. Can we push more constraints into frequent pattern mining? ACM SIGKDD, 2000.
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    • Pie, J.1    Han, J.2
  • 15
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    • Closet+: Searching for the best strategies for mining frequent closed itemsets
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    • Wang, J.1    Han, J.2    Pei, J.3
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    • Zaki, M.1    Hsiao, C.-J.2
  • 18
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    • Real world performance of association rule algorithms
    • Z. Zheng, R. Kohavi, and L. Mason. Real world performance of association rule algorithms. ACM SIGKDD, 2001.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.