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Reconstruction of belemnite evolution using formal concept analysis
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Belohlavek, R.1
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Formal concept analysis constrained by attribute-dependency formulas
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Ganter, B., Godin, R. (eds.) ICFCA 2005. Springer, Heidelberg
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Belohlavek, R., Sklenář, V.: Formal concept analysis constrained by attribute-dependency formulas. In: Ganter, B., Godin, R. (eds.) ICFCA 2005. LNCS (LNAI), vol. 3403, pp. 176-191. Springer, Heidelberg (2005)
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Formal concept analysis with constraints by closure operators
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Schärfe, H., Hitzler, P., Ohrstrøm, P. (eds.) ICCS 2006. Springer, Heidelberg
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Belohlavek, R., Vychodil, V.: Formal concept analysis with constraints by closure operators. In: Schärfe, H., Hitzler, P., Ohrstrøm, P. (eds.) ICCS 2006. LNCS (LNAI), vol. 4068, pp. 131-143. Springer, Heidelberg (2006)
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Formal concept analysis with background knowledge: Attribute priorities. IEEE Trans. Systems
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Belohlavek, R., Vychodil, V.: Formal concept analysis with background knowledge: attribute priorities. IEEE Trans. Systems, Man, and Cybernetics, Part C 39(4), 399-409 (2009), doi:10.1109/TSMCC.2008.2012168
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Constraint-based data mining
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Maimon, O., Rokach, L. (eds.) Springer, Heidelberg
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Boulicaut, J.-F., Jeudy, B.: Constraint-based data mining. In: Maimon, O., Rokach, L. (eds.) The Data Mining and Knowledge Discovery Handbook, pp. 399-416. Springer, Heidelberg (2005)
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A parameterized algorithm to explore formal contexts with a taxonomy
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Cellier, P., Ferré, S., Ridoux, O., Ducassé, M.: A parameterized algorithm to explore formal contexts with a taxonomy. Int. J. Found. Comput. Sci. 2, 319-343 (2008)
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Reducing the size of concept lattices: The JBOS Approach
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Restrictions on concept lattices for pattern management
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Φ-generalized concept lattice models: From power concepts to formal concepts, and then to robust concepts
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