PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
2007 | 9 | 125--133
Tytuł artykułu

Dealing with Textual Documents in Coprporate Applications: Text Categorization Using Fuzzy Linguistic Summaries

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Text documents are the most widely used type of data in corporate practice. Among many aspects of dealing with, and processing of text documents, text categorization is often an initial phase. Text categorization is meant here as an automatic assignment of a text document, characterized by keywords, into some categories. We use a linguistic quantifier guided aggregation, via linguistic summaries, to obtain a concise description of documents, and show its use in text categorization.(original abstract)
Słowa kluczowe
Rocznik
Tom
9
Strony
125--133
Opis fizyczny
Twórcy
  • Polska Akademia Nauk
  • Polska Akademia Nauk
Bibliografia
  • 1. M.-L. Antonie, O. R. Zaïane (2002). Text Document Categorization by Term Association, in Proc. of the IEEE 2002 International Conference on Data Mining (ICDM'2002), pp 19-26, Maebashi City, Japan, December 9 - 12, 2002.
  • 2. G. Bordogna and G. Pasi (2000). Flexible representation and querying of heterogeneous structured documents. Kybernetika, 36(6): 617-633.
  • 3. G. Bordogna and G. Pasi (2003). Flexible representation and retrieval of Web documents. In P.S. Szczepaniak, J. Segovia, J. Kacprzyk and L.A. Zadeh, eds. Intelligent Exploration of the Web, pp. 38-53, Springer-Varlag.
  • 4. D. Dubois, H. Fargier and H. Prade (1997). Beyond min aggregation in multicriteria decision: (ordered) weighted min, discri-min,leximin. In [17], pp. 181 - 192.
  • 5. R. Feldman and H. Hirsh (1996). Mining associations in text in the presence of background knowledge. In Proc. of the Second International Conference on Knowledge Discovery from Databases.
  • 6. I. Glöckner (2003). Fuzzy quantifiers, multiple variable binding, and branching quantification. In T. Bilgic, B. De Baets and O. Kaynak, editors Fuzzy Sets and Systems - IFSA 2003. LNAI 2715, pp. 135 - 142, Springer-Verlag, Berlin and Heidelberg, 2003.
  • 7. P. Hájek, M. Hole_a (2003). Formal logics of discovery and hypothesis formation by machine.Theoretical Computer Science, 292, 345 - 357, 2003.
  • 8. Y.-Ch. Hu, R.-Sh. Chen and G.-H. Tzeng. (2002). Mining fuzzy association rules for classification problems. Computers & Industrial Engineering, 43:735-750.
  • 9. J. Kacprzyk and R.R. Yager (2001). Linguistic summaries of data using fuzzy logic. International Journal of General Systems, 30: 33-154.
  • 10. J. Kacprzyk, R.R. Yager R. and S. Zadrożny (2000). A fuzzy logic based approach to linguistic summaries of databases. International Journal of Applied Mathematics and Computer Science, 10, 4: 813-834.
  • 11. J. Kacprzyk and S. Zadrożny: Linguistic summarization of data sets using association rules. Proceedings of FUZZ-IEEE 2003 - The IEEE International Conference on Fuzzy Systems, St. Louis, USA, 2003, IEEE Press, pp. 702-707.
  • 12. J. Kacprzyk J., Zadrożny S.: Linguistic database summaries and their protoforms: towards natural language based knowledge discovery tools. Information Sciences, 173, 2005, pp. 281-304.
  • 13. J. Kacprzyk J., Zadrożny S.: Towards a synergistic combination of Web-based and datadriven decision-support systems via linguistic data summaries. Springer, Berlin, LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, vol. 3528, 2005, pp. 211-217.
  • 14. J. Kacprzyk J., Zadrożny S.: Towards more powerful information technology via computing with words and perceptions: precisiated natural language, protoforms and linguistic data summaries. In: Nikravesh M., Zadeh L.A., Kacprzyk J. (Eds.): Soft computing for information processing and analysis. Springer Verlag, Berlin Heidelberg New York 2005, pp. 19-33.
  • 15. J. Kacprzyk, Zadrożny S.: Protoforms of linguistic database summaries as a tool for human- consistent data mining. In: Proceedings 14th Annual IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2005), Reno, NV, USA, May 22-25, 2005, IEEE, ss. 591-596.
  • 16. J. Kacprzyk and S. Zadrożny (2005). Fuzzy linguistic data summaries as a human consistent, user adaptable solution to data mining. In B. Gabryś, K. Leiviska and J. Strackeljan, editors, Do smart adaptive systems exist? - Best practice for selection and combination of intelligent methods, Springer, Heidelberg and New York.
  • 17. L.I. Kuncheva (2000). Fuzzy Classifier Design. Physica-Verlag, Heidelberg New York.
  • 18. B. Liu, W. Hsu and Y.M. Ma (1998). Integrating classification and association rule mining. In Proc. of the 4th Int.l Conference on Knowledge Discovery and Data Mining (KDD-98), pp. 80-86, New York, USA.
  • 19. Y. Liu and E.E. Kerre. An overview of fuzzy quantifiers. (I). Interpretations. Fuzzy Sets and Systems 95: 1-21, 1998.
  • 20. M. Nikravesh L.A. Zadeh and J. Kacprzyk (Eds.): Soft Computing for Information Processing and Analysis. Springer, Heidelberg and New York, 2005.
  • 21. F. Sebastiani (1999) A tutorial on automated text categorisation In A. Amandi, A. Zunino (Eds.) Proceedings of ASAI-99, 1st Argentinian Symposium on Artificial Intelligence, Buenos Aires, AR, 7-35.
  • 22. R.R. Yager (1996). Database discovery using fuzzy sets. International Journal of Intelligent Systems, 691-712.
  • 23. R.R. Yager and J. Kacprzyk, eds, (1997). The Ordered Weighted Averaging Operators: Theory and Applications. Kluwer, Boston.
  • 24. Y. Yang (1999). An Evaluation of Statistical Approaches to Text Categorization. Information Retrieval, vol. 1, No. 1 / 2, pp. 69-90.
  • 25. L.A. Zadeh (1983). A computational approach to fuzzy quantifiers in natural languages. Computers and Maths with Appls. 9: 149-184.
  • 26. S. Zadrożny and J. Kacprzyk (2003). On the application of linguistic quantifiers for text categorization. In Proc. of International Conference on Fuzzy Information Processing - FIP'03, volume 1, 435-440, Beijing.
  • 27. S. Zadrożny and J. Kacprzyk (2003). Linguistically quantified thresholding strategies for text categorization. In Proc. of the 3rd Int. Conf. in Fuzzy Logic and Technology (EUSFLAT' 2003), pages 38-42, Zittau, Germany, September 10-12, 2003.
  • 28. S. Zadrożny and J. Kacprzyk: "An internet-based group decision and consensus reaching support system". In: X. Yu and J. Kacprzyk (Eds.): Applied decision support with soft computing. Springer-Verlag, Heidelberg 2003, pp. 263-275.
  • 29. S. Zadrożny and J. Kacprzyk: On the use of linguistic summaries for text categorization. In: Proceedings of IPMU'2004 - International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems (Perugia, Italy), 2004, Vol. 2, pp. 1373 - 1380.
  • 30. S. Zadrożny, K. Ławcewicz and J. Kacprzyk: "Towards an Intelligent Text Categorization for Web Resources: An Implementation". In: B. Bouchon-Meunier, L. Foulloy and R.R. Yager (Eds.): Intelligent Systems for Information Processing: From Representation to Applications. North-Holland, Amsterdam, 2003, ss. 100-111.
  • 31. S. Zadrożny and J. Kacprzyk: "Linguistically quantified thresholding strategies for text categorization". In: Proceedings of EUSFLAT 2003 - Third Conference of the European Society for Fuzzy Logic and Technology, Zittau, Germany, September 10-12, 2003, EUSFLAT and University of Applied Sciences at Zittau/Goerlitz, ss. 38-42.
  • 32. S. Zadrożny S., Kacprzyk J., Gola M.: Towards Human Friendly Data Mining: Linguistic Data Summaries and Their Protoforms. Springer, Berlin, Lecture Notes In Computer Science, No. 3697, 2005, pp. 697-702.
  • 33. S. Zadrożny and J. Kacprzyk: "On the application of linguistic quantifiers for text categorization". In: Proceedings of FIP'03 - International Conference on Fuzzy Information Processing-Theories and Applications, Beijing, China, 2003, Tsinghua University Press/Springer, pp. 435-440.
  • 34. S. Zadrożny, K. Ławcewicz and J. Kacprzyk: TCAT: system automatycznej kategoryzacji internetowych dokumentów tekstowych. In: Piąta Krajowa Konferencja "Inżynieria Wiedzy i Systemy Ekspertowe", Wrocław, 2003, pp. 141-148.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171519841

Zgłoszenie zostało wysłane

Zgłoszenie zostało wysłane

Musisz być zalogowany aby pisać komentarze.
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.