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Volumn 26, Issue 2, 1997, Pages 277-288

Scalable Parallel Data Mining for Association Rules

Author keywords

[No Author keywords available]

Indexed keywords

DATA PROCESSING; DATA STRUCTURES; INFORMATION MANAGEMENT; PARALLEL ALGORITHMS; PARALLEL PROCESSING SYSTEMS; STORAGE ALLOCATION (COMPUTER);

EID: 0031165409     PISSN: 01635808     EISSN: None     Source Type: Journal    
DOI: 10.1145/253262.253330     Document Type: Article
Times cited : (170)

References (15)
  • 2
    • 0001882616 scopus 로고
    • Fast algorithms for mining association rules
    • Santiago, Chile
    • R. Agrawal and R. Srikant. Fast algorithms for mining association rules. In Proc. of the 20th VLDB Conference, pages 487-499, Santiago, Chile, 1994.
    • (1994) Proc. of the 20th VLDB Conference , pp. 487-499
    • Agrawal, R.1    Srikant, R.2
  • 4
    • 0002401815 scopus 로고
    • Discovery of multiple-level association rules from large databases
    • Zurich, Switzerland
    • J. Han and Y. Fu. Discovery of multiple-level association rules from large databases. In Proc. of the 21st VLDB Conference, Zurich, Switzerland, 1995.
    • (1995) Proc. of the 21st VLDB Conference
    • Han, J.1    Fu, Y.2
  • 6
    • 0029224819 scopus 로고
    • Set-oriented mining for association rules in relational databases
    • Taipei, Taiwan
    • M. A. W. Houtsma and A. N. Swami. Set-oriented mining for association rules in relational databases. In Proc. of the 11th Int'l Conf. on Data Eng., pages 25-33, Taipei, Taiwan, 1995.
    • (1995) Proc. of the 11th Int'l Conf. on Data Eng. , pp. 25-33
    • Houtsma, M.A.W.1    Swami, A.N.2
  • 10
  • 12
    • 0002880407 scopus 로고
    • Mining generalized association rules
    • Zurich, Switzerland
    • R. Srikant and R. Agrawal. Mining generalized association rules. In Proc. of the 21st VLDB Conference, pages 407-419, Zurich, Switzerland, 1995.
    • (1995) Proc. of the 21st VLDB Conference , pp. 407-419
    • Srikant, R.1    Agrawal, R.2
  • 15
    • 0002082857 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, pages 432-443, Zurich, Switzerland, 1995.
    • (1995) Proc. of the 21st VLDB Conference , pp. 432-443
    • Savasere, A.1    Omiecinski, E.2    Navathe, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.