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Knowledge Acquisition under Incomplete Knowledge using Methods from Formal Concept Analysis: Part II

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Języki publikacji
EN
Abstrakty
EN
Attribute exploration is an interactive computer algorithm which helps the expert to get informations about the attribute implications of a formal context. In the part I of this paper (see [H04]) an algorithm for attribute exploration with incomplete knowledge was presented. In this part we prove the main results of the algorithm: At the end of the attribute exploration the expert gets maximal information with respect to his knowledge about the unknown universe: He gets a list of implications which are certainly valid, a list of implications which are possibly valid, a list of counterexamples against the implications which are certainly not valid and a list of fictitious counterexamples against the implications which he answered by `"unknown''. He only has to check the implications which he answered by `"unknown'' and if he can decide for each of these implications whether it is valid or not, he gets complete knowledge about the implications of the context.
Wydawca
Rocznik
Strony
41--63
Opis fizyczny
Bibliogr. 15 poz., tab., wykr.
Twórcy
autor
  • Department of Mathematics, AG 1, Darnstadt University of Technology, Schlossgartenstr. 7, D-64289 Darmstadt, Germany
Bibliografia
  • [AM84] P.Atzeni, N.M.Morfuni. Functional dependiencies in relations with null values. Information Processing Letters 18, page 233-238. 1984
  • [B91a] P.Burmeister. Merkmaliniplikationen bei unwollsändigem Wissen. Arbeitstagung Begriffsanalyse und Künstliche Intelligenz. Informalik-Bericht 89/3 des Instituts fur Informatik, Clausthal-Zellerfeld, Januar 1991
  • [B91b] P.Burmeister, BA.: Ein Programm zur formalen Begriffsanalyse einwertiger Kontexte. 1991
  • [B96a] P.Burmeister. Attribute exploration with incomplete input information. Preliminary report. Technische Hochschule Darmstadt, 1996
  • [B96b] P.Burmeister. Formal Concept Analysis with Conlmp: Introduction to the Basic Features, english version of Stumme. Wille, Begriffliche Wissensverarbeitung: Methoden und Anwendungen. Springer Verlag, 1996, also available as preprint 2284, Fachbereich Mathematik. TU-Darmstadt, 2003
  • [BHOO] P.Burmeister, R.Holzer. On the Treatment of Incomplete Knowledge in Formal Concept Analysis. In: Lecture Notes in Artificial Intelligence 1867, Eds: Bernhard Ganter, Guy W. Mineau. page 385-398, Springer-Verlag. 20(M)
  • [G98] B.Ganter. Begriffe und Implikationen. 1998
  • [G99] B.Ganter. Attribute exploration with background knowledge. Theoretical Computer Science 217, page 215-233. 10. 1999
  • [GW99] B.Ganter, R.Wille. Formal Concept Analysis - Mathematical Foundations. Springer Verlag, 1999
  • [HO1] R.Holzer. Methoden der formalen Begriffsanalyse bei der Behandlung unvollständigen Wissens. Dissertation, Shaker Verlag, 2001
  • [H04] R.Holzer. Knowledge acquisition under incomplete knowledge using methods from formal concept analysis Part I.
  • [L82] Y.E.Lien. On the equivalence of database models. Journal of the ACM 29, page 333-362, 1982
  • [M83] D.Maier. The Theory of Relational Databases. Computer Science Press, 1983
  • [S97] G.Stumme. Concept exploration - Knowledge acquisition in conceptual knowledge systems. Shaker, Aachen, 1997
  • [W89] R.Wille. Knowledge acquisition by methods of formal concept analysis. In: E.Diday (ed.): Data analysis, learning symbolic and numeric knowledge. Nova Science Publishers, New York-Budapest. 365-380, 1989
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BUS2-0005-0091
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