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Volumn 1676, Issue , 1999, Pages 193-202

A new approach for the discovery of frequent itemsets

Author keywords

[No Author keywords available]

Indexed keywords

DATA WAREHOUSES; WAREHOUSES;

EID: 84958042272     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-48298-9_21     Document Type: Conference Paper
Times cited : (3)

References (7)
  • 2
    • 0002082857 scopus 로고    scopus 로고
    • An efficient algorithm for mining association rules in large databases
    • Zurich, Switzerland
    • A. Savasere, E. Omiecinski, and S. Navathe. An efficient algorithm for mining association rules in large databases. In Proc. of the 21st VLDB Conference, Zurich, Switzerland, 1995.
    • Proc. Of the 21St VLDB Conference , pp. 1995
    • Savasere, A.1    Omiecinski, E.2    Navathe, S.3
  • 5
    • 0002663969 scopus 로고    scopus 로고
    • Sampling large databases for association rules
    • Bombay, India
    • H. Toivonen. Sampling large databases for association rules. In Proc. of the 22nd VLDB Conference, Bombay, India, 1996.
    • (1996) Proc. Of the 22Nd VLDB Conference
    • Toivonen, H.1
  • 6
    • 84958099360 scopus 로고    scopus 로고
    • Pincer-search: A new algorithm for discovering the maximumfrequent set
    • Valencia, Spain
    • D.I. Lim and Z.M. Kedem. Pincer-search: A new algorithm for discovering the maximum frequent set. In Proc. of the EDBT’98 Conference, Valencia, Spain, 1998.
    • (1998) Proc. Of the EDBT’98 Conference
    • Lim, D.I.1    Kedem, Z.M.2
  • 7
    • 0032091573 scopus 로고    scopus 로고
    • Efficiently mining long patterns from databases
    • Seattle, WA, USA
    • R.J. Bayardo. Efficiently mining long patterns from databases. In Proc. of the SIGMOD’98 Conference, Seattle, WA, USA, 1998
    • (1998) Proc. Of the SIGMOD’98 Conference
    • Bayardo, R.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.