Abstract
Pseudo-intents (also called pseudo-closed sets) of formal contexts have gained interest in recent years, since this notion is helpful for finding minimal representations of implicational theories. In particular, there are some open problems regarding complexity. In our paper, we compile some results about pseudo-intents which contribute to the understanding of this notion and help in designing optimized algorithms. We provide a characterization of pseudo-intents based on the notion of a formal context’s incrementors. The latter are essentially non-closed sets which – when added to a closure system – do not enforce the presence of other new attribute sets. In particular, the provided definition is non recursive. Moreover we show that this notion coincides with the notion of a quasi-closed set that is not closed, which enables to reuse existing results and to formulate an algorithm that checks for pseudo-closedness. Later on, we provide an approach for further optimizing those algorithms based on a result which correlates the set of pseudo-intents of a formal context with the pseudo-intents of this context’s reduced version.
Keywords
- Time Complexity
- Closure System
- Formal Concept
- Closure Operator
- Stem Base
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Supported by the Deutsche Forschungsgemeinschaft (DFG) under the ReaSem project.
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References
Day, A.: The lattice theory of functional dependencies and normal decompositions. International Journal of Algebra and Computation 2(4), 409–431 (1992)
Dowling, W.F., Gallier, J.H.: Linear-time algorithms for testing the satisfiability of propositional Horn formulae. J. Log. Program. 1(3), 267–284 (1984)
Ganter, B.: Two basic algorithms in concept analysis. Technical Report 831, FB4, TH Darmstadt (1984)
Ganter, B., Wille, R.: Formal Concept Analysis: Mathematical Foundations (Translator- Franzke, C.). Springer, New York (1997)
Guigues, J.-L., Duquenne, V.: Familles minimales d’implications informatives resultant d’un tableau de données binaires. Math. Sci. Humaines 95, 5–18 (1986)
Kuznetsov, S.O.: On the intractability of computing the Duquenne-Guigues base. Journal of Universal Computer Science 10(8), 927–933 (2004)
Kuznetsov, S.O., Obiedkov, S.A.: Counting pseudo-intents and #P-completeness. In: Missaoui, R., Schmidt, J. (eds.) Formal Concept Analysis. LNCS (LNAI), vol. 3874, pp. 306–308. Springer, Heidelberg (2006)
Maier, D.: The Theory of Relational Databases. Computer Science Press, New York (1983)
Priss, U.: Some open problems in formal concept analysis (Feb. 2006), http://www.upriss.org.uk/fca/problems06.pdf
Wild, M.: Implicational bases for finite closure systems. In: Lex, W. (ed.) Arbeitstagung Begriffsanalyse und Künstliche Intelligenz, pp. 147–169. Springer, Heidelberg (1991)
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Rudolph, S. (2007). Some Notes on Pseudo-closed Sets. In: Kuznetsov, S.O., Schmidt, S. (eds) Formal Concept Analysis. ICFCA 2007. Lecture Notes in Computer Science(), vol 4390. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70901-5_10
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DOI: https://doi.org/10.1007/978-3-540-70901-5_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-70828-5
Online ISBN: 978-3-540-70901-5
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