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Volumn 12, Issue 2, 1997, Pages 65-74

Designing a Kernel for data mining

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA ACQUISITION; DATABASE SYSTEMS; DECISION MAKING; INFORMATION DISSEMINATION; INFORMATION RETRIEVAL; LEARNING SYSTEMS; NEURAL NETWORKS; USER INTERFACES;

EID: 0031098246     PISSN: 08859000     EISSN: None     Source Type: Journal    
DOI: 10.1109/64.585106     Document Type: Article
Times cited : (36)

References (19)
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    • Codd, E.F.1
  • 2
    • 0027886517 scopus 로고
    • From Data Properties to Evidence
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    • D.A. Bell, "From Data Properties to Evidence," IEEE Trans. Knowledge and Data Engineering, Vol. 5, No. 6, Dec. 1993, pp. 965-969.
    • (1993) IEEE Trans. Knowledge and Data Engineering , vol.5 , Issue.6 , pp. 965-969
    • Bell, D.A.1
  • 3
    • 0004021178 scopus 로고
    • G. Piatetsky-Shapiro and W.J. Frawley, eds., AAAI/ MIT Press, Menlo Park, Calif.
    • G. Piatetsky-Shapiro and W.J. Frawley, eds., Knowledge Discovery in Databases, AAAI/ MIT Press, Menlo Park, Calif., 1991.
    • (1991) Knowledge Discovery in Databases
  • 4
    • 11744279338 scopus 로고    scopus 로고
    • Special Issue on Data Mining
    • Oct.
    • W. Mark, "Special Issue on Data Mining," IEEE Expert, Vol. 11, No. 5, Oct. 1996.
    • (1996) IEEE Expert , vol.11 , Issue.5
    • Mark, W.1
  • 7
    • 0030122443 scopus 로고    scopus 로고
    • A General Framework for Data Mining Based on Evidence Theory
    • S.S. Anand, D.A. Bell, and J.G. Hughes, "A General Framework for Data Mining Based on Evidence Theory," Data and Knowledge Engineering J., Vol. 18, 1996, pp. 189-223.
    • (1996) Data and Knowledge Engineering J. , vol.18 , pp. 189-223
    • Anand, S.S.1    Bell, D.A.2    Hughes, J.G.3
  • 8
    • 0027883358 scopus 로고
    • Database Mining: A Performance Perspective
    • Dec.
    • R. Agrawal, T. Imielinski, and A. Swami, "Database Mining: A Performance Perspective," IEEE Trans. KDE, Vol. 5, No. 6, Dec. 1993, pp. 914-925.
    • (1993) IEEE Trans. KDE , vol.5 , Issue.6 , pp. 914-925
    • Agrawal, R.1    Imielinski, T.2    Swami, A.3
  • 9
    • 0002227089 scopus 로고
    • An Interval Classifier for Database Mining Applications
    • Morgan Kaufmann, San Francisco
    • R. Agrawal et al., "An Interval Classifier for Database Mining Applications," Proc. 18th Int'l Conf. Very Large Databases, Morgan Kaufmann, San Francisco, 1992, pp. 560-573.
    • (1992) Proc. 18th Int'l Conf. Very Large Databases , pp. 560-573
    • Agrawal, R.1
  • 10
    • 0027621699 scopus 로고
    • Mining Association Rules between Sets of Items in Large Databases
    • ACM Press, New York
    • R. Agrawal, T. Imielinski, and A. Swami, "Mining Association Rules between Sets of Items in Large Databases," Proc. ACM SIGMOD Conf. Management of Data, ACM Press, New York, 1993, pp. 207-216.
    • (1993) Proc. ACM SIGMOD Conf. Management of Data , pp. 207-216
    • Agrawal, R.1    Imielinski, T.2    Swami, A.3
  • 11
    • 33748818216 scopus 로고
    • Evidential Techniques for Parallel Database Mining
    • Springer-Verlag, New York
    • S.S. Anand et al., "Evidential Techniques for Parallel Database Mining," in Lecture Notes in Computer Science, No. 919, Springer-Verlag, New York, 1995, pp. 190-195.
    • (1995) Lecture Notes in Computer Science , Issue.919 , pp. 190-195
    • Anand, S.S.1
  • 12
    • 0002877253 scopus 로고
    • Discovery, Analysis, and Presentation of Strong Rules
    • AAAI/MIT Press
    • G. Piatetsky-Shapiro, "Discovery, Analysis, and Presentation of Strong Rules," in Knowledge Discovery in Databases, AAAI/MIT Press, 1991, pp. 229-248.
    • (1991) Knowledge Discovery in Databases , pp. 229-248
    • Piatetsky-Shapiro, G.1
  • 15
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    • Probabilistic Partial Values for Distributed Database Integration
    • Brunel Univ., UK
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    • (1995) Proc. Applied Decision Technologies , pp. 155-182
    • McClean, S.I.1    Scotney, B.W.2
  • 18
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    • A. Barry and S. Baker, "The Lynz Object Model," Esprit Project 6816, Distributed Systems Group, Dept. of Computing, Trinity College, Dublin, 1995.
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    • Barry, A.1    Baker, S.2


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