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Linguistic Summaries of Standardized Documents

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Advances in Web Intelligence and Data Mining

Part of the book series: Studies in Computational Intelligence ((SCI,volume 23))

Summary

Automatic summarization of databases has become indispensable in a number of tasks involving information exchange or strategic decision making. It is also important when huge bases of documents must be clustered. The present paper deals with summarization of standardized databases containing both numerical and textual records. The method and its variations are described and explained on illustrative examples.

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References

  1. Atanassov K (1986) Intuitionistic Fuzzy Sets. Fuzzy Sets and Systems, 20:87–96

    Article  MATH  MathSciNet  Google Scholar 

  2. Atanassov K (1999) Intuitionistic Fuzzy Sets; Theory and Applications. Heidelberg, New York, Physica-Verlag, A Springer-Verlag Company

    MATH  Google Scholar 

  3. Bandemer H, Gottwald S (1995) Fuzzy sets, Fuzzy Logic, Fuzzy Methods with Applications. John Wiley and Sons

    Google Scholar 

  4. Bunke H, Fabregas X, Kandel A (2001) Rule-based Fuzzy Object Similarity. Mathware & Soft Computing, 8:113–128

    MATH  MathSciNet  Google Scholar 

  5. Kacprzyk J, Zadrozny S (1999) On Interactive Linguistic Summarization of Databases via a Fuzzy-logic-based Querying Add-on to Microsoft Access. In: Reusch B (eds) Computational Inteligence. Springer-Verlag, Heidelberg:462–472

    Google Scholar 

  6. Kacprzyk J, Zadrozny S (2000) Computing with words: towards a new generation of linguistic quering and summarization of databases. In: Sincak P, Vascak J (eds) Quo vadis computational intelligence?, Physica Verlag, Heidelberg / New York: 144–175

    Google Scholar 

  7. Kacprzyk J, Zadrozny S (2001) On Linguistic Approaches in Flexible Querying and Mining of Association Rules. In: Larsen H L, Kacprzyk J, Zadrozny S, Andreasen T and Christiansen H (eds) Flexible Query Answering Systems. Recent Advances. Physica-Verlag (Springer-Verlag), Heidelberg and New York:475–484

    Google Scholar 

  8. Kacprzyk J, Zadrozny S (2001) Fuzzy linguistic summaries of databases for an efficient business data analysis and decision support. In: Abramowicz A, Zurada J (eds) Knowledge discovery for business information system. Kluwer Academic Publisher B. V. Boston: 129–152

    Google Scholar 

  9. Kacprzyk J, Zadrozny S (2001) Fuzzy linguistic summaries via association rules. In: Kandel A, Last M, Bunke H (eds) Data Mining and computational intelligence. Physica-Verlag, Heidelberg / New York:115–139

    Google Scholar 

  10. Karnik N N, Mendel J M (1988) An Introduction to Type-2 Fuzzy Logic Sys tems. University of Southern California, Los Angeles

    Google Scholar 

  11. Karnik N N, Mendel J M (1999) Type-2 Fuzzy Logic Systems. IEEE Trans. on Fuzzy Systems, 7, no 6:643–658.

    Article  Google Scholar 

  12. Mani I and Maybury M T (1999) Advances in Automatic Text Summarization. The MIT Press, Cambridge, Massachusetts, USA

    Google Scholar 

  13. Niewiadomski A (2000) Appliance of Fuzzy Relations for Text Documents Comparing. Proceedings of the 5th Conference on Neural Networks and Soft Computing, Zakopane, Poland:347–352.

    Google Scholar 

  14. Niewiadomski A, Szczepaniak P S (2002) Fuzzy Similarity in E-Commerce Domains. In: Segovia J, Szczepaniak P S, Niedzwiedzinski M (eds) E-Commerce and Intelligent Methods. Physica-Verlag, A Springer-Verlag Company, Heidelberg, New York

    Google Scholar 

  15. Szczepaniak P S, Niewiadomski A (2003) Internet Search Based on Text Intuitionistic Fuzzy Similarity. In: Szczepaniak P S, Segovia J, Kacprzyk J, Zadeh L (eds) Intelligent Exploration of the Web. Physica-Verlag, A Springer-Verlag Company, Heidelberg, New York

    Google Scholar 

  16. Szczepaniak P S, Niewiadomski A (2003) Clustering of documents on the basis of text fuzzy similarity. In: Abramowicz W (eds) Knowledge-based information retrieval and filtering from the Web. Kluwer Academic Publ., Boston, New York, Dordrecht, London:219–230.

    Google Scholar 

  17. Yager R R (1995) Linguistic summaries as a tool for databases discovery. Workshop on Fuzzy Databases System and Information Retrieval, Yokohama, Japan

    Google Scholar 

  18. Yager R R (1990) On Linguistic Summaries of Data. 3rd Int. Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Paris, France

    Google Scholar 

  19. Zadeh L A (1965) Fuzzy Sets. Information and Control, 8:338–353.

    Article  MATH  MathSciNet  Google Scholar 

  20. Zadeh L A (1971) Toward a Theory of Fuzzy Systems. In: Aspects of Network and System Theory. Kalman R. E. and De Claris N. (Eds.): Holt, Rinehart and Winston, New York, USA

    Google Scholar 

  21. Zadeh L A (1983) The concept of linguistic variable and its application for approximate reasoning. Information Science, 8:149–184.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Institute of Computer Science, Technical University of Lodz, Sterlinga 16/18, 90-217, Lodz, Poland

    Piotr S. Szczepaniak & Joanna Ochelska

  2. Systems Research Institute, Polish Academy of Sciences, Newelska 6, 01-447, Warsaw, Poland

    Piotr S. Szczepaniak

Authors
  1. Piotr S. Szczepaniak
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  2. Joanna Ochelska
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Editor information

Editors and Affiliations

  1. Department of Information Systems Engineering, Ben-Gurion University of the Negev, Beer-Sheva, 84105, Israel

    Mark Last

  2. Institute of Computer Sciences, Technical University of Lodz, ul. Wolczanska 215, 93-1005, Lodz, Poland

    Piotr S. Szczepaniak

  3. Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01-447, Warsaw, Poland

    Piotr S. Szczepaniak

  4. Department of Software Engineering, ORT Braude College, POB. 78, 21982, Karmiel, Israel

    Zeev Volkovich

  5. Department of Computer Science and Engineering, University of South Florida, 4202 E. Fowler Ave., ENB 118, Tampa, FL, 33620, USA

    Abraham Kandel

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© 2006 Springer-Verlag Berlin Heidelberg

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Szczepaniak, P.S., Ochelska, J. (2006). Linguistic Summaries of Standardized Documents. In: Last, M., Szczepaniak, P.S., Volkovich, Z., Kandel, A. (eds) Advances in Web Intelligence and Data Mining. Studies in Computational Intelligence, vol 23. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-33880-2_23

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  • DOI: https://doi.org/10.1007/3-540-33880-2_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-33879-6

  • Online ISBN: 978-3-540-33880-2

  • eBook Packages: EngineeringEngineering (R0)

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