Knowledge Mining by Imprecise Querying: A Classification-Based Approach.

@inproceedings{DBLP:conf/icde/AnwarBN92,
  author    = {Tarek M. Anwar and
               Howard W. Beck and
               Shamkant B. Navathe},
  editor    = {Forouzan Golshani},
  title     = {Knowledge Mining by Imprecise Querying: A Classification-Based
               Approach},
  booktitle = {Proceedings of the Eighth International Conference on Data Engineering,
               February 3-7, 1992, Tempe, Arizona},
  publisher = {IEEE Computer Society},
  year      = {1992},
  isbn      = {0-8186-2545-7},
  pages     = {622-630},
  ee        = {db/conf/icde/AnwarBN92.html},
  crossref  = {DBLP:conf/icde/92},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

Copyright © 1992 by The Institute of Electrical and Electronic Engineers, Inc. (IEEE). Abstract used with permission.

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References

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Tadao Ichikawa, Masahito Hirakawa: ARES: A Relational Database with the Capability of Performing Flexible Interpretation of Queries. IEEE Trans. Software Eng. 12(5): 624-634(1986)

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Tomasz Imielinski: Intelligent Query Answering in Rule Based Systems. J. Log. Program. 4(3): 229-257(1987)

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Amihai Motro: SEAVE: A Mechanism for Verifying User Presuppositions in Query Systems. ACM Trans. Inf. Syst. 4(4): 312-330(1986)

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Amihai Motro: VAGUE: A User Interface to Relational Databases that Permits Vague Queries. ACM Trans. Inf. Syst. 6(3): 187-214(1988)

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Amihai Motro: Accommodating Imprecision in Database Systems: Issues and Solutions. SIGMOD Record 19(4): 69-74(1990)

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Maria Zemankova, Abraham Kandel: Implementing Imprecision in Information Systems. Inf. Sci. 37(1-3): 107-141(1985)