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Data Mining via Fuzzy Querying over the Internet

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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 39))

Abstract

We present an approach to data mining in databases by using fuzzy querying, implemented as our FQUERY for Access system, and then extended to make fuzzy querying possible via a WWW browser. This makes it possible to browse through enormous, and growing, information resources that can be found via the Internet.

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Literature

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

    Google Scholar 

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

    Google Scholar 

  • Chen G.Q. (1998) Fuzzy Logic in Data Modeling - Semantics, Constraints and Database Design. Kluwer, Boston.

    Google Scholar 

  • Dobrzynski W., Kacprzyk J. and S. Zadrozny (1997) An example of fuzzy querying using Microsoft’ Active Server Pages tools. Proc. of Fifth EUFIT’97 (Aachen, Germany), 1997, vol. 2, pp. 1181–1185.

    Google Scholar 

  • Kacprzyk J. and S. Zadrozny (1994a) Fuzzy querying for Microsoft Access. Proc. of Third FUZZ-IEEE Conference (Orlando, USA, Vol. 1, pp. 167–171.

    Google Scholar 

  • Kacprzyk J. and S Zadrozny (1995a) 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, pp. 415–433.

    Google Scholar 

  • Kacprzyk J. and S. Zadrozny (1995b) Fuzzy queries in Microsoft Access v. 2, Proc. of 6th IFSA World Congress (Sao Paolo, Brazil ), Vol. II, pp. 341–344.

    Google Scholar 

  • Kacprzyk J. and S. Zadrozny (1996) A fuzzy querying interface for a WWW-server-based relational DBMS, Proc. of IPMU’96 (Granada, Spain), 1996, vol. 1, pp. 19–24.

    Google Scholar 

  • Kacprzyk J. and S. Zadrozny (1997a) 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, pp. 223–232.

    Google Scholar 

  • Kacprzyk J. and S Zadro2ny (1997b) Implementation of OWA operators in fuzzy querying for Microsoft Access. In: R.R. Yager and J. Kacprzyk (Eds.) The Ordered Weighted Averaging Operators: Theory and Applications, Kluwer, Boston 1997, pp. 293–306.

    Chapter  Google Scholar 

  • Kacprzyk J. and S Zadrozny (1997c) Flexible querying using fuzzy logic: An implementation for Microsoft Access, in T. Andreasen, H. Christiansen and H.L. Larsen (eds.): Flexible Query Answering Systems, Kluwer, Boston, 1997, pp. 247–275.

    Chapter  Google Scholar 

  • Kacprzyk and S. Zadrozny (1997d) A fuzzy querying interface for a WWW environment, Proc. of Seventh IFSA World Congress (Prague, Czech Rep.), Academia, Prague, Vol. IV, pp. 285–290.

    Google Scholar 

  • Kacprzyk J. and S. Zadro2ny (1997e) Issues and solutions for fuzzy database querying over Internet. Proceedings of Fifth EUFIT’97 (Aachen, Germany), 1997, vol. 2, pp. 1191–1195.

    Google Scholar 

  • Kacprzyk J., Zadrozny S. and Ziólkowski A. (1989) FQUERY III+: a ‘human consistent’ database querying system based on fuzzy logic with linguistic quantifiers. Information Systems 6, 443–453.

    Article  Google Scholar 

  • Kacprzyk J. and Ziólkowski A. (1986) Database queries with fuzzy linguistic quantifiers. IEEE Trans. on Systems, Man and Cybern. SMC–16, 474–479

    Article  Google Scholar 

  • Kim P.-C. (1996) A taxonomy on the architecture of database gateways for the Web. [URL:http://grigg. chungnam.ac.kr/-uniweb/documents/taxonomy/text.html]

    Google Scholar 

  • Petry F.E. (1996) Fuzzy Databases: Principles and Applications. Kluwer, Boston.

    Google Scholar 

  • Yager R.R. (1988) On ordered weighted averaging aggregation operators in multi-criteria decision making. IEEE Trans. on Systems, Man and Cybern., 18, 183–190.

    Article  Google Scholar 

  • Yager R.R. and Kacprzyk J., Eds. (1997) The Ordered Weighted Averaging Operators: Theory and Applications. Kluwer, Boston.

    Google Scholar 

  • Yazici A. and R. George (1999) Fuzzy Database Modeling. Physica-Verlag, Heidelberg and New York.

    Book  Google Scholar 

  • Yazici A., R. George, B.P. Buckles and F.E. Petry (1992) A survey of conceptual and logical data models for uncertainty management. In L.A. Zadeh and J. Kacprzyk (Eds.): Fuzzy Logic for the Management of Uncertainty. Wiley, New York, pp. 607–643.

    Google Scholar 

  • Zadeh L.A. (1983) A computational approach to fuzzy quantifiers in natural languages. Computers and Maths. with Appls. 9, 149–184.

    Article  Google Scholar 

  • Zadrony S. and J. Kacprzyk (1995) Fuzzy querying using the ‘query-by-example’ option in a Windows-based DBMS“, Proc. of Third EUFIT’95 (Aachen, Germany), vol. 2, pp. 733–736.

    Google Scholar 

  • Zadrony S. and J. Kacprzyk (1996) Multi-valued fields and values in fuzzy querying via FQUERY for Access, Proc. of Fifth FUZZ-IEEE’96 (New Orleans, USA), vol. 2, pp. 1351–1357.

    Google Scholar 

  • Zadrony, J. Kacprzyk and K. Floisand (1997) Internet and WWW–new opportunities for information technology and soft computing, Proc. of Sevenths IFSA World Congress (Prague, Czech Rep.), Academia, Prague, Vol. IV, pp. 316–319.

    Google Scholar 

  • Zemankova M. and J. Kacprzyk (1993) The roles of fuzzy logic and management of uncertainty in building intelligent information systems, J. of Intelligent Information Systems 2, 311–317.

    Article  Google Scholar 

  • Zemankova-Leech M. and Kandel A. (1984) Fuzzy Relational Databases — a Key to Expert Systems. Verlag TÜV Rheinland, Cologne.

    Google Scholar 

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Kacprzyk, J., Zadrożny, S. (2000). Data Mining via Fuzzy Querying over the Internet. In: Pons, O., Vila, M.A., Kacprzyk, J. (eds) Knowledge Management in Fuzzy Databases. Studies in Fuzziness and Soft Computing, vol 39. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1865-9_13

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  • DOI: https://doi.org/10.1007/978-3-7908-1865-9_13

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-2467-4

  • Online ISBN: 978-3-7908-1865-9

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