Titlebook: Regional Upgrading in Southern Europe; Spatial Disparities Madalena Fonseca,Ugo Fratesi Book 2017 Springer International Publishing AG 201

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Ricardo Biscaia,Pedro Teixeira,Vera Rocha,Margarida Fonseca Cardosoon the basis of a fuzzy quantifier representing the notion of dominance, and a fuzzy histogram representing as a fuzzy quantity the percentage of pixels that match each fuzzy color. The obtained descriptor can be employed in a large amount of applications. We illustrate the usefulness of the descrip

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answer to a query cannot be computed, and of the work that remains to be done in order to obtain this complete answer. The use of a partial answer is twofold. First, it contains an . that allows to obtain the complete answer without redoing the work that has already been done. Second, the applicati

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Alberto Amaralshown. Dynamic aspect of databases such as view update and datamining can be seen as cases of abductive and inductive reasoning, which can be characterized in straight-forward ways in terms of metalogical statements involving a reversible metainterpreter.

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Madalena Fonsecaa are used to reflect user preferences, expressing query satisfaction becomes a matter of degree. Nowadays, it becomes more and more common that data originating from different sources and different data providers are involved in the processing of a single query. Also, data sets can be very large su

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Ugo Fratesi made into business data, an usual problem in real-world applications. The incremental maintenance methods arise to avoid reruns of those algorithms from scratch by reusing information that is systematically maintained. This paper introduces a software tool: Data Rules Incremental Maintenance System

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ty compared to the other approaches in the most of the cases. Nowadays, current trends of division are been oriented towards flexible queries and those involving preferences. However, the emphasis was always on proposing new operators which provide more flexibility and tolerance than the classical d

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Roberta Capello,Camilla Lenzia are used to reflect user preferences, expressing query satisfaction becomes a matter of degree. Nowadays, it becomes more and more common that data originating from different sources and different data providers are involved in the processing of a single query. Also, data sets can be very large su