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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Ronald J. Brachman, James G. Schmolze: An Overview of the KL-ONE Knowledge Representation System. Cognitive Science 9(2): 171-216(1985) BibTeX

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Douglas H. Fisher: Knowledge Acquisition via Incremental Conceptual Clustering. Machine Learning 2(2): 139-172(1987) BibTeX

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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) BibTeX

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

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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) BibTeX

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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) BibTeX

[12]

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

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

Referenced by

1. Ming-Syan Chen, Jong Soo Park, Philip S. Yu: Efficient Data Mining for Path Traversal Patterns. IEEE Trans. Knowl. Data Eng. 10(2): 209-221(1998)
2. Jong Soo Park, Ming-Syan Chen, Philip S. Yu: Using a Hash-Based Method with Transaction Trimming for Mining Association Rules. IEEE Trans. Knowl. Data Eng. 9(5): 813-825(1997)
3. Chiang Lee, Chia-Jung Chen: Query Optimization in Multidatabase Systems Considering Schema Conflicts. IEEE Trans. Knowl. Data Eng. 9(6): 941-955(1997)
4. Daniel A. Keim, Hans-Peter Kriegel: Visualization Techniques for Mining Large Databases: A Comparison. IEEE Trans. Knowl. Data Eng. 8(6): 923-938(1996)
5. Ming-Syan Chen, Jiawei Han, Philip S. Yu: Data Mining: An Overview from a Database Perspective. IEEE Trans. Knowl. Data Eng. 8(6): 866-883(1996)
6. Alexander Borgida: Description Logics in Data Management. IEEE Trans. Knowl. Data Eng. 7(5): 671-682(1995)
7. Jong Soo Park, Ming-Syan Chen, Philip S. Yu: An Effective Hash Based Algorithm for Mining Association Rules. SIGMOD Conference 1995: 175-186
8. Maurice A. W. Houtsma, Arun N. Swami: Set-Oriented Mining for Association Rules in Relational Databases. ICDE 1995: 25-33
9. Howard W. Beck, Tarek M. Anwar, Shamkant B. Navathe: A Conceptual Clustering Algorithm for Database Schema Design. IEEE Trans. Knowl. Data Eng. 6(3): 396-411(1994)
10. Daniel A. Keim, Hans-Peter Kriegel, Thomas Seidl: Supporting Data Mining of Large Databases by Visual Feedback Queries. ICDE 1994: 302-313
11. Rakesh Agrawal, Tomasz Imielinski, Arun N. Swami: Database Mining: A Performance Perspective. IEEE Trans. Knowl. Data Eng. 5(6): 914-925(1993)
12. Alexander Borgida, Ronald J. Brachman: Loading Data into Description Reasoners. SIGMOD Conference 1993: 217-226