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Volumn 2005-January, Issue January, 2005, Pages 307-316

Distribution-based synthetic database generation techniques for itemset mining

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BENCHMARKING;

EID: 74849096429     PISSN: 10988068     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IDEAS.2005.22     Document Type: Conference Paper
Times cited : (17)

References (19)
  • 1
    • 0001882616 scopus 로고
    • Fast algorithms for mining association rules
    • R. Agrawal and R. Srikant. Fast algorithms for mining association rules. In VLDB Conference, 1994.
    • (1994) VLDB Conference
    • Agrawal, R.1    Srikant, R.2
  • 2
    • 0032091573 scopus 로고    scopus 로고
    • Efficiently mining long patterns from databases
    • R. J. Bayardo. Efficiently mining long patterns from databases. In ACM SIGMOD Conference, 1998.
    • (1998) ACM SIGMOD Conference
    • Bayardo, R.J.1
  • 4
    • 0345817937 scopus 로고    scopus 로고
    • A condensed representation to find frequent patterns
    • Artur Bykowski et al. A condensed representation to find frequent patterns. In ACM PODS Conference, 2001.
    • (2001) ACM PODS Conference
    • Bykowski, A.1
  • 5
    • 84937112644 scopus 로고    scopus 로고
    • Discovering all most specific sentences
    • Dimitrios Gunopulos et al. Discovering all most specific sentences. ACM TODS, 2003.
    • (2003) ACM TODS
    • Gunopulos, D.1
  • 6
    • 0001371923 scopus 로고    scopus 로고
    • Fast discovery of association rules
    • U. Fayyad and et al, editors, AAAI Press
    • R. Agrawal et al. Fast discovery of association rules. In U. Fayyad and et al, editors, Advances in Knowledge Discovery and Data Mining, pages 307-328. AAAI Press, 1996.
    • (1996) Advances in Knowledge Discovery and Data Mining , pp. 307-328
    • Agrawal, R.1
  • 7
    • 84937146994 scopus 로고    scopus 로고
    • A simple algorithm for finding frequent elements in streams and bags
    • Richard M. Karp et al. A simple algorithm for finding frequent elements in streams and bags. ACM TODS, 2003.
    • (2003) ACM TODS
    • Karp, R.M.1
  • 10
    • 78149351437 scopus 로고    scopus 로고
    • Efficiently mining maximal frequent itemsets
    • K. Gouda and M. J. Zaki. Efficiently mining maximal frequent itemsets. In IEEE ICDM Conference, 2001.
    • (2001) IEEE ICDM Conference
    • Gouda, K.1    Zaki, M.J.2
  • 12
    • 84937117015 scopus 로고    scopus 로고
    • Privacy preserving data mining of association rules on vertically partitioned data
    • Murat Kantarcioglu and Chris Clifton. Privacy preserving data mining of association rules on vertically partitioned data. In ACMKDD Conference, 2003.
    • (2003) ACMKDD Conference
    • Kantarcioglu, M.1    Clifton, C.2
  • 14
    • 0032092760 scopus 로고    scopus 로고
    • Exploratory mining and pruning optimizations of constrained association rules
    • Raymond T. Ng, Laks V. S. Lakshmanan, Jiawei Han, and Alex Pang. Exploratory mining and pruning optimizations of constrained association rules. In ACM SIGMOD Conference, 1998.
    • (1998) ACM SIGMOD Conference
    • Ng, R.T.1    Lakshmanan, L.V.S.2    Han, J.3    Pang, A.4
  • 16
    • 84937115390 scopus 로고    scopus 로고
    • Feasible itemset distributions in data mining: Theory and application
    • Ganesh Ramesh, William A. Maniatty, and Mohammed J. Zaki. Feasible itemset distributions in data mining: Theory and application. In ACM PODS Conference, 2003.
    • (2003) ACM PODS Conference
    • Ramesh, G.1    Maniatty, W.A.2    Zaki, M.J.3
  • 17
    • 84937120707 scopus 로고    scopus 로고
    • The complexity of mining maximal frequent item-sets and maximal frequent patterns
    • Yang G. The Complexity of Mining Maximal Frequent Item-sets and Maximal Frequent Patterns. In ACMKDD Conference, 2004.
    • (2004) ACMKDD Conference
    • Yang, G.1
  • 19
    • 84937159558 scopus 로고    scopus 로고
    • Real world performance of association rule algorithms
    • Z. Zheng, R. Kohavi, and L. Mason. Real world performance of association rule algorithms. In ACM KDD Conference, 2001.
    • (2001) ACM KDD Conference
    • Zheng, Z.1    Kohavi, R.2    Mason, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.