On Combining Intelligent Querying and Data Mining Using Fuzzy Logic Concepts-Reference-Cited by-同舟云学术

On Combining Intelligent Querying and Data Mining Using Fuzzy Logic Concepts

Published:2000 Issue: Volume: Page:67-81
ISSN:1434-9922
Container-title:Recent Issues on Fuzzy Databases
language:
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Author:

Kacprzyk Janusz,Zadrozny Slawomir

Publisher

Physica-Verlag HD

Link

http://link.springer.com/content/pdf/10.1007/978-3-7908-1845-1_4.pdf

Reference27 articles.

1. Bosc P. and J. Kacprzyk (eds.), Fuzziness in Database Management Systems. Physica-Verlag, Heidelberg, 1995.

2. Bosc P. and O. Pivert, “Fuzzy querying in conventional databases”, in: L.A. Zadeh and J. Kacprzyk (eds.): Fuzzy Logic for the Management of Uncertainty. Wiley, New York, 1992, 645–671.

3. Bosc P., L. Lietard and O. Pivert, “Quantified statements and database fuzzy querying”, in P. Bosc and J. Kacprzyk (eds.): Fuzziness in Database Management Systems. Physica-Verlag, Heidelberg, 1995, 275–308.

4. Kacprzyk J. and S. Zadrozny, “FQUERY for Access: fuzzy querying for a Windows-based DBMS”, in: P. Bosc and J. Kacprzyk (eds.) Fuzziness in Database Management Systems, Physica-Verlag, Heidelberg, 1995, 415–433.

5. Kacprzyk J. and S. Zadrozny, “Fuzzy queries in Microsoft Access v. 2”, in: D. Dubois, H. Prade and R.R.Yager (eds.): Fuzzy Information Engineering — A Guided Tour of Applications, Wiley, New York, 1997, 223–232.

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