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Volumn 2005, Issue , 2005, Pages 397-403

Detecting temporally redundant association rules

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; DATA PROCESSING; DATA STRUCTURES; INFORMATION RETRIEVAL SYSTEMS; STATISTICAL TESTS;

EID: 33745857716     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2005.22     Document Type: Conference Paper
Times cited : (8)

References (11)
  • 1
    • 0027621699 scopus 로고
    • Mining association rules between sets of items in large databases
    • Washington, DC
    • R. Agrawal, T. Imielinski, and A. N. Swami. Mining association rules between sets of items in large databases. In Proc. ACM SIGMOD 1993, pages 207-216, Washington, DC, 1993.
    • (1993) Proc. ACM SIGMOD 1993 , pp. 207-216
    • Agrawal, R.1    Imielinski, T.2    Swami, A.N.3
  • 2
    • 84954134641 scopus 로고
    • Active data mining
    • Montreal, Canada
    • R. Agrawal and G. Psaila. Active data mining. In Proc. KDD 1995, pages 3-8, Montreal, Canada, 1995.
    • (1995) Proc. KDD 1995 , pp. 3-8
    • Agrawal, R.1    Psaila, G.2
  • 3
    • 9644300959 scopus 로고    scopus 로고
    • Mining changes in association rules: A fuzzy approach
    • W.-H. Au and K. Chan. Mining changes in association rules: a fuzzy approach. Fuzzy Sets and Systems, 149(1):87-104, 2005.
    • (2005) Fuzzy Sets and Systems , vol.149 , Issue.1 , pp. 87-104
    • Au, W.-H.1    Chan, K.2
  • 4
    • 0002758989 scopus 로고    scopus 로고
    • Mining surprising patterns using temporal description length
    • New York City, NY, Morgan Kaufmann Publishers
    • S. Chakrabarti, S. Sarawagi, and B. Dom. Mining surprising patterns using temporal description length. In Proc. VLDB 1998, pages 606-617, New York City, NY, 1998. Morgan Kaufmann Publishers.
    • (1998) Proc. VLDB 1998 , pp. 606-617
    • Chakrabarti, S.1    Sarawagi, S.2    Dom, B.3
  • 6
    • 0035789625 scopus 로고    scopus 로고
    • Discovering the set of fundamental rule changes
    • San Francisco, CA
    • B. Liu, W. Hsu, and Y. Ma. Discovering the set of fundamental rule changes. In Proc. ACM SIGKDD 2001, pages 335-340, San Francisco, CA, 2001.
    • (2001) Proc. ACM SIGKDD 2001 , pp. 335-340
    • Liu, B.1    Hsu, W.2    Ma, Y.3
  • 7
    • 78149338936 scopus 로고    scopus 로고
    • Analyzing the interestingness of association rules from the temporal dimension
    • San Jose, CA
    • B. Liu, Y. Ma, and R. Lee. Analyzing the interestingness of association rules from the temporal dimension. In Proc. IEEE ICDM 2001, pages 377-384, San Jose, CA, 2001.
    • (2001) Proc. IEEE ICDM 2001 , pp. 377-384
    • Liu, B.1    Ma, Y.2    Lee, R.3
  • 9
    • 33745767871 scopus 로고    scopus 로고
    • Efficient monitoring of patterns in data mining environments
    • Dresden, Germany, Springer
    • M. Spiliopoulou, S. Baron, and O. Günther. Efficient monitoring of patterns in data mining environments. In Proc. ADBIS 2003, pages 253-265, Dresden, Germany, 2003. Springer.
    • (2003) Proc. ADBIS 2003 , pp. 253-265
    • Spiliopoulou, M.1    Baron, S.2    Günther, O.3
  • 10
    • 0034592782 scopus 로고    scopus 로고
    • Efficient search for association rules
    • Boston, MA
    • G. I. Webb. Efficient search for association rules. In Proc. ACM SIGKDD 2000, pages 99-107, Boston, MA, 2000.
    • (2000) Proc. ACM SIGKDD 2000 , pp. 99-107
    • Webb, G.I.1
  • 11
    • 4444337294 scopus 로고    scopus 로고
    • Mining non-redundant association rules
    • M. J. Zaki. Mining non-redundant association rules. Data Mining and Knowledge Discovery, 9(3):223-248, 2004.
    • (2004) Data Mining and Knowledge Discovery , vol.9 , Issue.3 , pp. 223-248
    • Zaki, M.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.