In constraint satisfaction, basic inferences rely on some properties of constraint networks, called consistencies, that allow the identification of inconsistent instantiations or nogoods. Two main families of consistencies have been introduced so far : those that permit to reason from variables such as (i, j)-consistency and those that permit to reason from constraints such as relational (i, j)...

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Missing values are an old problem that is very common in real data bases. We describe the damages caused by missing values on condensed representations of patterns extracted from large data bases. This is important because condensed representations are very useful to increase the efficiency of the extraction and enable new uses of patterns (e.g., rules with minimal body, clustering, classificat...