PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Briefly on the GUHA method of data mining

Autorzy
Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper gives brief, user-oriented, information on the GUHA method.
Słowa kluczowe
Rocznik
Tom
Strony
112--114
Opis fizyczny
Bibliogr. 27 poz.
Twórcy
autor
  • Institute of Computer Science, Academy of Sciences, Prague, Czech Republic, hajek@cs.cas.cz
Bibliografia
  • [1] R. Agrawal, H. Manilla, R. Sukent, A. Toivonen, and A. Verkamo, “Fast discovery of association rules” in Advance in Knowledge Discovery and Data Mining. AAA Press, 1996, pp. 307–328.
  • [2] J. M. Adamo, Data Mining for Associational Rules and Sequential Patterns, Sequential and Parallel Algorithms. Springer, 2001.
  • [3] D. Coufal, “GUHA analysis of air pollution data” in Proc. Int. Conf. Artificial Neural Nets and Genetic Algorithms ICANNGA’2001, V. K ̊urkov ́a, N. C. Steele, R. Neruda, and M. K ́arn ́y, Eds., Prague, Czech Rep., 2001. Springer, 2001, pp. 465–468.
  • [4] T. Feglar, “The GUHA architecture” in Proc. Relmics 6, Tilburg, The Netherlands, 2001, pp. 358–364.
  • [5] P. H ́ajek, “The GUHA method and mining association rules” in Proc. CIMA’2001, Bangor, Wales, 2001, pp. 533–539.
  • [6] P. H ́ajek, “The new version of the GUHA procedure ASSOC” In Proc. COMPSTAT, Physica-Verlag, 1984, pp. 360–365.
  • [7] P. H ́ajek, I. Havel, and M. Chytil, “The GUHA method of automatic hypotheses determination”, Computing, no. 1, pp. 293–308, 1966.
  • [8] P. H ́ajek, K. Bendov ́a, and Z. Renc, “The GUHA method and three-valued logic”, Kybernetika, no. 7, pp. 421–431, 1971.
  • [9] P. H ́ajek and T. Havr ́anek, Mechanizing Hypothesis Formation (Mathematical Foundations for a General Theory). Springer, 1978.
  • [10] P. H ́ajek and T. Havr ́anek, Mechanizing Hypothesis Formation (Mathematical Foundations for a General Theory). Internet edition, http://www.cs.cas.cz/hajek/guhabook/
  • [11] P. H ́ajek and M. Holeˇna, “Formal logics of discovery and hypothesis formation by machine”, Theor. Comput. Sci., vol. 292, pp. 345–357, 2003.
  • [12] P. H ́ajek, J. Rauch, T. Feglar, and D. Coufal, “The GUHA method, data preprocessing and mining”, in Proc. Database Technologies for Data Mining DTDM’02, Praha, Czech Rep., 2002, pp. 29–36.
  • [13] P. H ́ajek, Guest Ed., Int. J. Man-Mach. Stud., vol. 10, no. 1, 1977 (special issue on Guha). Introductory paper, P. H ́ajek and T. Havr ́anek, “The GUHA method – its aims and techniques”, Int. J. Man-Mach. Stud., no. 10, pp. 3–22, 1977.
  • [14] P. H ́ajek, Guest Ed., Int. J. Man-Mach. Stud., vol. 15, no. 3, 1981 (second special issue on GUHA).
  • [15] P. H ́ajek, A. Sochorov ́a, and J. Zv ́arov ́a, “GUHA for personal computers”, Comp. Stat. Data Anal., no. 19, pp. 149–153, 1995.
  • [16] J. H ́alov ́a and P. ˇZ ́ak, “Coping discovery challenge of mutagenes discovery with GUHA+/- for windows” in Int. Workshop on KDD Challenge on Real-world Data, Kyoto, Japan, 2000, pp. 55–60; Pacific-Asia Conf. Knowledge Discovery and Data Mining, Kyoto, Japan, 2000.
  • [17] T. Havr ́anek, “The statistical modification and interpretation of GUHA method”, Kybernetika, no. 7, pp. 13–21, 1971.
  • [18] M. Holeˇna, “Fuzzy hypotheses for GUHA implications”, Fuzzy Sets Syst., vol. 98, pp. 101–125, 1998.
  • [19] M. Holeˇna, “Exploratory data processing using a fuzzy generalization of the GUHA approach” in Fuzzy Logic, Baldwin et al., Eds., New York: Willey, 1996, pp. 213–229.
  • [20] L. Pecen, E. Pelik ́an, H. Beran, and D. Pivka, “Short-term fx market analysis and prediction” in Neural Networks in Financial Engeneering, A. P. Refenes, J. Moody, and Y. Abu-Mustafa, Eds., World Scientific, 1995, pp. 189–196.
  • [21] J. Rauch, “GUHA as a data mining tool, practical aspects of knowledge management”. Schweizer Informatiker Gesellshaft Basel, 1996.
  • [22] J. Rauch, “Logical calculi for knowledge discovery” in Principles of Data Mining and Knowledge Discovery, J. Komorowski and J. Zytkow, Eds. Berlin: Springer, 1997, pp. 47–57.
  • [23] J. Rauch, “Logical problems of statistical data analysis in databases” in Proc. Eleventh Int. Sem. Database Manag. Syst., 1988, pp. 53–63.
  • [24] J. Rauch and M. ˇSim ̊unek, “Mining for 4ft association rules” in Proc. Discovery Science, 2000, Kyoto. Springer, 2000, pp. 268–272.
  • [25] J. Rauch and M. ˇSim ̊unek, “Mining for statistical association rules” in Proc. PAKDD, Hong Kong, 2001, pp. 149–158.
  • [26] V. ˇSebesta V and L. Straka, “Determination of suitable markers by the GUHA method for the prediction of bleeding at patients with chronic lymphoblastic leukemia” in Mediter. Conf. Med. Biolog. Eng. Comput. Medicon 98, Lemesos, Cyprus, 1998.
  • [27] J. Zv ́arov ́a, J. Preiss, and A. Sochorov ́a, “Analysis of data about epileptic patients using GUHA method” in EuroMISE 95: Information, Health and Education, J. Zv ́arov ́a and I. Mal ́a, Eds., Prague, Czech Rep., 1995; TEMPUS Int. Conf., Prague, Czech Rep., 1995.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPS2-0021-0044
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.