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Volumn 3, Issue 3, 1999, Pages 291-314

Effect of data distribution in parallel mining of associations

Author keywords

Association rules; Data mining; Data skewness; Parallel computing; Parallel mining; Workload balance

Indexed keywords


EID: 27144466086     PISSN: 13845810     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1009836926181     Document Type: Article
Times cited : (26)

References (23)
  • 2
    • 0030403087 scopus 로고    scopus 로고
    • Parallel mining of association rules: Design, implementation and experience. Special Issue in Data Mining
    • IEEE Computer Society
    • Agrawal, R. and Shafer, J.C. 1996. Parallel mining of association rules: Design, implementation and experience. Special Issue in Data Mining, IEEE Trans, on Knowledge and Data Engineering, IEEE Computer Society, 8(6):962-969.
    • (1996) IEEE Trans, on Knowledge and Data Engineering , vol.8 , Issue.6 , pp. 962-969
    • Agrawal, R.1    Shafer, J.C.2
  • 6
    • 0029733589 scopus 로고    scopus 로고
    • Maintenance of discovered association rules in large databases: An incremental updating technique
    • New Orleans, Louisiana
    • Cheung, D.W., Han, J., Ng, V.T., and Wong, C.Y. 1996. Maintenance of discovered association rules in large databases: An incremental updating technique. Proc. 1996 IEEE Int. Conf. on Data Engineering. New Orleans, Louisiana.
    • (1996) Proc. 1996 IEEE Int. Conf. on Data Engineering
    • Cheung, D.W.1    Han, J.2    Ng, V.T.3    Wong, C.Y.4
  • 9
    • 0002401815 scopus 로고
    • Discovery of multiple-level association rules from large databases
    • Zurich, Switzerland
    • Han J. and Fu, Y. 1995. Discovery of multiple-level association rules from large databases. Proc. 1995 Int. Conf. Very Large Data Bases. Zurich, Switzerland, pp. 420-431.
    • (1995) Proc. 1995 Int. Conf. Very Large Data Bases , pp. 420-431
    • Han, J.1    Fu, Y.2
  • 17
    • 0002082857 scopus 로고
    • An efficient algorithm for mining association rules in large databases
    • Zurich, Switzerland
    • Savasere, A., Omiecinski, E., and Navathe, S. 1995. An efficient algorithm for mining association rules in large databases. Proc. 1995 Int. Conf. Very Large Data Bases. Zurich, Switzerland, pp. 432-444.
    • (1995) Proc. 1995 Int. Conf. Very Large Data Bases , pp. 432-444
    • Savasere, A.1    Omiecinski, E.2    Navathe, S.3
  • 23
    • 77956461676 scopus 로고    scopus 로고
    • Parallel data mining for association rules on shared-memory multi-processors
    • Pittsburg, PA, Nov. 17-22
    • Zaki, M.J., Ogihara, M., Parthasarathy, S., and Li, W. 1996. Parallel data mining for association rules on shared-memory multi-processors. Supercomputing'96, Pittsburg, PA, Nov. 17-22.
    • (1996) Supercomputing'96
    • Zaki, M.J.1    Ogihara, M.2    Parthasarathy, S.3    Li, W.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.