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Volumn , Issue , 2008, Pages

Identifying temporal trajectories of association rules with fuzzy descriptions

Author keywords

[No Author keywords available]

Indexed keywords

ANNUAL MEETINGS; ASSOCIATION RULES; FUZZY INFORMATION PROCESSING;

EID: 51149090810     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NAFIPS.2008.4531243     Document Type: Conference Paper
Times cited : (7)

References (13)
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    • Steinbrecher, M.1    Kruse, R.2
  • 2
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    • R. Agrawal, T. Imielinski, and A. N. Swami, Mining Association Rules between Sets of Items in Large Databases, in Proc. ACM SIGMOD Int. Conf. on Management of Data, Washington, D.C., May 26-28, 1993, P. Buneman and S. Jajodia, Eds. ACM Press, 1993, pp. 207-216.
    • R. Agrawal, T. Imielinski, and A. N. Swami, "Mining Association Rules between Sets of Items in Large Databases," in Proc. ACM SIGMOD Int. Conf. on Management of Data, Washington, D.C., May 26-28, 1993, P. Buneman and S. Jajodia, Eds. ACM Press, 1993, pp. 207-216.
  • 3
    • 7044250743 scopus 로고    scopus 로고
    • A note on quality measures for fuzzy asscociation rules
    • D. Dubois, E. Hüllermeier, and H. Prade, "A note on quality measures for fuzzy asscociation rules," in IFSA, 2003, pp. 346-353.
    • (2003) IFSA , pp. 346-353
    • Dubois, D.1    Hüllermeier, E.2    Prade, H.3
  • 6
    • 9644252808 scopus 로고    scopus 로고
    • Elicitation of Fuzzy Association Rules from Positive and Negative Examples
    • M. D. Cock, C. Cornelis, and E. E. Kerre, "Elicitation of Fuzzy Association Rules from Positive and Negative Examples," Fuzzy Sets and Systems, vol. 149, no. 1, pp. 73-85, 2005.
    • (2005) Fuzzy Sets and Systems , vol.149 , Issue.1 , pp. 73-85
    • Cock, M.D.1    Cornelis, C.2    Kerre, E.E.3
  • 7
    • 51149112587 scopus 로고    scopus 로고
    • Association rules & evolution in time
    • G. Koundourakis and B. Theodoulidis, "Association rules & evolution in time," in SETN, 2002, pp. 261-272.
    • (2002) SETN , pp. 261-272
    • Koundourakis, G.1    Theodoulidis, B.2
  • 8
    • 0041454634 scopus 로고    scopus 로고
    • Discovering calendar-based temporal association rules
    • Y. Li, P. Ning, X. S. Wang, and S. Jajodia, "Discovering calendar-based temporal association rules," in TIME, 2001, pp. 111-118.
    • (2001) TIME , pp. 111-118
    • Li, Y.1    Ning, P.2    Wang, X.S.3    Jajodia, S.4
  • 9
    • 22044441258 scopus 로고    scopus 로고
    • Fast mining of sequential patterns in very large databases,
    • Tech. Rep. TR668
    • M. J. Zaki, "Fast mining of sequential patterns in very large databases," Tech. Rep. TR668, 1997.
    • (1997)
    • Zaki, M.J.1
  • 10
    • 0002758989 scopus 로고    scopus 로고
    • Mining surprising patterns using temporal description length
    • A. Gupta, O. Shmueli, and J. Widom, Eds. New York, NY: Morgan Kaufmann
    • S. Chakrabarti, S. Sarawagi, and B. Dom, "Mining surprising patterns using temporal description length," in Twenty-Fourth International Conference on Very Large databases VLDB'98, A. Gupta, O. Shmueli, and J. Widom, Eds. New York, NY: Morgan Kaufmann, 1998, pp. 606-617.
    • (1998) Twenty-Fourth International Conference on Very Large databases VLDB'98 , pp. 606-617
    • Chakrabarti, S.1    Sarawagi, S.2    Dom, B.3
  • 11
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    • M. Müller, Entdeckung interessanter Assoziationsregeln, Master's thesis, Otto-Friedrich-Universität Bamberg & DAIMLERCHRYSLER Research and Technology, RMI/DM, Ulm, 2005.
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  • 13
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    • A Bayesian Method for the Induction of Probabilistic Networks from Data
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    • Cooper, G.F.1    Herskovits, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.