Abstract
Pseudo-intents play a key rôle in Formal Concept Analysis. They are the premises of the implications in the Duquenne-Guigues Base, which is a minimum cardinality base for the set of implications that hold in a formal context. It has been shown that checking whether a set is a pseudo-intent is in conp. However, it is still open whether this problem is conp-hard, or it is solvable in polynomial time. In the current work we prove a first lower bound for this problem by showing that it is at least as hard as transversal hypergraph, which is the problem of identifying the minimal transversals of a given hypergraph. This is a prominent open problem in hypergraph theory that is conjectured to form a complexity class properly contained between p and conp. Our result explains why the attempts to find a polynomial algorithm for recognizing pseudo-intents have failed until now. We also formulate a decision problem, namely first pseudo-intent, and show that if this problem is not polynomial, then, unless p = np, pseudo-intents cannot be enumerated with polynomial delay in a specified lexicographic order.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Berge, C.: Hypergraphs. Elsevier Science Publishers B.V, North Holland (1989)
Duquenne, V.: The core of finite lattices. Discrete Mathematics 88, 133–147 (1991)
Eiter, T., Gottlob, G.: Identifying the minimal transversals of a hypergraph and related problems. SIAM Journal on Computing 24(6), 1278–1304 (1995)
Eiter, T., Gottlob, G.: Hypergraph transversal computation and related problems in logic and AI. In: Flesca, S., Greco, S., Leone, N., Ianni, G. (eds.) JELIA 2002. LNCS, vol. 2424, pp. 549–564. Springer, Heidelberg (2002)
Fredman, M.L., Khachiyan, L.: On the complexity of dualization of monotone disjunctive normal forms. Journal of Algorithms 21(3), 618–628 (1996)
Ganter, B.: Two basic algorithms in concept analysis. Technical Report Preprint-Nr. 831, Technische Hochschule Darmstadt, Darmstadt, Germany (1984)
Ganter, B., Wille, R.: Formal Concept Analysis: Mathematical Foundations. Springer, Berlin (1999)
Goldsmith, J., Levy, M., Mundhenk, M.: Limited nondeterminism. SIGACT 27(2), 20–29 (1978)
Guigues, J.-L., Duquenne, V.: Familles minimales d’implications informatives resultant d’un tableau de données binaries. Mathématiques, Informatique et Sciences Humaines 95, 5–18 (1986)
Gunopulos, D., Khardon, R., Mannila, H., Toivonen, H.: Data mining, hypergraph transversals, and machine learning. In: Proceedings of the Sixteenth Symposium on Principles of Database Systems (PODS 1997), pp. 209–216 (1997)
Janssen, P., Nourine, L.: Minimum implicational basis for meet-semidistributive lattices. Information Processing Letters 99(5), 199–202 (2006)
Johnson, D.S., Papadimitriou, C.H., Yannakakis, M.: On generating all maximal independent sets. Information Processing Letters 27(3), 119–123 (1988)
Kavvadias, D.J., Papadimitriou, C.H., Sideri, M.: On horn envelopes and hypergraph transversals. In: Ng, K.W., Balasubramanian, N.V., Raghavan, P., Chin, F.Y.L. (eds.) ISAAC 1993. LNCS, vol. 762, pp. 399–405. Springer, Heidelberg (1993)
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, vol. 3874, pp. 306–308. Springer, Heidelberg (2006)
Kuznetsov, S.O., Obiedkov, S.A.: Some decision and counting problems of the Duquenne-Guigues basis of implications. Discrete Applied Mathematics 156(11), 1994–2003 (2008)
Obiedkov, S.A., Duquenne, V.: Attribute-incremental construction of the canonical implication basis. Annals of Mathematics and Artificial Intelligence 49(1-4), 77–99 (2007)
Sertkaya, B.: Some computational problems related to pseudo-intents. In: Ferré, S., Rudolph, S. (eds.) Proceedings of the 7th International Conference on Formal Concept Analysis (ICFCA 2009). LNCS (LNAI), vol. 5548, pp. 130–145. Springer, Heidelberg (2009)
Wild, M.: Optimal implicational bases for finite modular lattices. Quaestiones Mathematicae 23, 153–161 (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sertkaya, B. (2009). Towards the Complexity of Recognizing Pseudo-intents. In: Rudolph, S., Dau, F., Kuznetsov, S.O. (eds) Conceptual Structures: Leveraging Semantic Technologies. ICCS 2009. Lecture Notes in Computer Science(), vol 5662. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03079-6_22
Download citation
DOI: https://doi.org/10.1007/978-3-642-03079-6_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03078-9
Online ISBN: 978-3-642-03079-6
eBook Packages: Computer ScienceComputer Science (R0)