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Volumn , Issue , 1999, Pages 68-74

A paradigm for detecting cycles in large data sets via fuzzy mining

Author keywords

[No Author keywords available]

Indexed keywords

KNOWLEDGE MANAGEMENT;

EID: 84872110387     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/KDEX.1999.836614     Document Type: Conference Paper
Times cited : (8)

References (10)
  • 1
    • 0027621699 scopus 로고
    • Mining association rules between sets of items in large databases
    • May
    • R. Agrawal, T. Imielinski, and A. Swami, "Mining association rules between sets of items in large databases, " ACM SIGMOD Bulletin, May 1993, pp. 207-216.
    • (1993) ACM SIGMOD Bulletin , pp. 207-216
    • Agrawal, R.1    Imielinski, T.2    Swami, A.3
  • 2
    • 0031162961 scopus 로고    scopus 로고
    • Dynamic itemset counting and implication rules for market basket data
    • May
    • S. Brin, R. Motwani, J. Ullman, and S. Tsur, "Dynamic Itemset Counting and Implication Rules for Market Basket Data, " ACM SIGMOD, May 1997.
    • (1997) ACM SIGMOD
    • Brin, S.1    Motwani, R.2    Ullman, J.3    Tsur, S.4
  • 3
    • 0344811122 scopus 로고    scopus 로고
    • An overview of data warehousing and OLAP technology
    • S. Chaudhuri, and U. Dayal, "An overview of data warehousing and OLAP technology, " SIGMOD Record, Vol.26, 1, 1997, pp. 65-74.
    • (1997) SIGMOD Record , vol.26 , Issue.1 , pp. 65-74
    • Chaudhuri, S.1    Dayal, U.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.