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Volumn , Issue , 2000, Pages 270-274

Efficient mining of weighted association rules (WAR)

Author keywords

Ordered shrinkage; Weighted association rules

Indexed keywords

ALGORITHMS; ASSOCIATIVE PROCESSING; PROBLEM SOLVING; SET THEORY;

EID: 0034592741     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/347090.347149     Document Type: Conference Paper
Times cited : (198)

References (4)
  • 1
    • 0001882616 scopus 로고
    • Fast algorithms for mining association rules
    • R. Agrawal and R. Srikant. Fast algorithms for mining association rules. Proc. 20th VLDB, 1994.
    • (1994) Proc. 20th VLDB
    • Agrawal, R.1    Srikant, R.2
  • 2
    • 0032090765 scopus 로고    scopus 로고
    • Automatic subspace clustering of high dimensional data for data mining application
    • R. Agrawal, J. Gehrke, D. Gunopulos, and P. Raghavan. Automatic subspace clustering of high dimensional data for data mining application. Proc. ACM SIGMOD, 1998.
    • (1998) Proc. ACM SIGMOD
    • Agrawal, R.1    Gehrke, J.2    Gunopulos, D.3    Raghavan, P.4
  • 3
    • 0030157416 scopus 로고    scopus 로고
    • Mining quantitative association rules in large relational tables
    • R. Srikant and R. Agrawal. Mining quantitative association rules in large relational tables. Proc. ACM SIGMOD, 1996.
    • (1996) Proc. ACM SIGMOD
    • Srikant, R.1    Agrawal, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.