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Matroid Intersections, Polymatroid Inequalities, and Related Problems
MFCS '02 Proceedings of the 27th International Symposium on Mathematical Foundations of Computer Science
Hypergraph Transversal Computation and Related Problems in Logic and AI
JELIA '02 Proceedings of the European Conference on Logics in Artificial Intelligence
An Algorithm for Dualization in Products of Lattices and Its Applications
ESA '02 Proceedings of the 10th Annual European Symposium on Algorithms
An inequality for polymatroid functions and its applications
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ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
On the complexity of inducing categorical and quantitative association rules
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A "Go With the Winners" approach to finding frequent patterns
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Discovering Frequent Closed Partial Orders from Strings
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Self-duality of bounded monotone boolean functions and related problems
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Some decision and counting problems of the Duquenne-Guigues basis of implications
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IEICE - Transactions on Information and Systems
On the Complexity of Constraint-Based Theory Extraction
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An intersection inequality for discrete distributions and related generation problems
ICALP'03 Proceedings of the 30th international conference on Automata, languages and programming
Tree pattern mining with tree automata constraints
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IWPEC'08 Proceedings of the 3rd international conference on Parameterized and exact computation
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Database transposition for constrained (closed) pattern mining
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Condensed representation of EPs and patterns quantified by frequency-based measures
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LATIN'06 Proceedings of the 7th Latin American conference on Theoretical Informatics
Transaction databases, frequent itemsets, and their condensed representations
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Deciding monotone duality and identifying frequent itemsets in quadratic logspace
Proceedings of the 32nd symposium on Principles of database systems
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Let A be an m 脳 n binary matrix, t 驴 {1, ..., m} be a threshold, and 驴 0 be a positive parameter. We show that given a family of O(n驴) maximal t-frequent column sets for A, it is NP-complete to decide whether A has any further maximal t-frequent sets, or not, even when the number of such additional maximal t-frequent column sets may be exponentially large. In contrast, all minimal t-infrequent sets of columns of A can be enumerated in incremental quasi-polynomial time. The proof of the latter result follows from the inequality 驴 驴 (m-t+1)脽, where 驴 and 脽 are respectively the numbers of all maximal t-frequent and all minimal t-infrequent sets of columns of the matrix A. We also discuss the complexity of generating all closed t-frequent column sets for a given binary matrix.