Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11889/2438
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dc.contributor.authorSayrafi, Bassem
dc.date.accessioned2016-10-13T05:28:14Z
dc.date.available2016-10-13T05:28:14Z
dc.date.issued2005-6
dc.identifier.urihttp://hdl.handle.net/20.500.11889/2438
dc.description.abstractDifferential constraints are a class of finite difference equations specified over functions from the powerset of a finite set into the reals. We characterize the implication problem for such constraints in terms of lattice decompositions, and give a sound and complete set of inference rules. We relate differential constraints to a subclass of propositional logic formulas, allowing us to show that the implication problem is coNP-complete. Furthermore, we apply the theory of differential constraints to the problem of concise representations in the frequent itemset problem by linking differential constraints to disjunctive rules. We also establish a connection to relational databases by associating differential constraints to positive boolean dependencies
dc.language.isoenen_US
dc.publisherRobert Shuman Center for Advances Studiesen_US
dc.subject.lcshConstraints (Artificial intelligence)
dc.subject.lcshDifferential equations
dc.subject.lcshInterval analysis (Mathematics)
dc.titleDifferential Constraintsen_US
dc.typeReportsen_US
newfileds.item-access-typeopen_accessen_US
newfileds.general-subjectLaw and Judiciaryen_US
item.grantfulltextopen-
item.languageiso639-1other-
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