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Research Project
LASIGE - Extreme Computing
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Publications
Errors of identifiers in anonymous databases: impact on data quality
Publication . Pombinho, Paulo; Cavique, Luís; Correia, Luís
Data quality is essential for a correct understanding of the concepts they represent. Data mining is especially relevant when data with inferior quality is used in algorithms that depend on correct data to create accurate models and predictions. In this work, we introduce the issue of errors of identifiers in an anonymous database. The work proposes a quality evaluation approach that considers individual attributes and a contextual analysis that allows additional quality evaluations. The proposed quality analysis model is a robust means of minimizing
anonymization costs.
Typability and type inference in atomic polymorphism
Publication . Protin, M. Clarence; Ferreira, Gilda
It is well-known that typability, type inhabitation and type inference are
undecidable in the Girard-Reynolds polymorphic system F. It has recently been proven
that type inhabitation remains undecidable even in the predicative fragment of system F
in which all universal instantiations have an atomic witness (system Fat). In this paper we
analyze typability and type inference in Curry style variants of system Fat and show that
typability is decidable and that there is an algorithm for type inference which is capable of
dealing with non-redundancy constraints.
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Funders
Funding agency
Fundação para a Ciência e a Tecnologia
Funding programme
6817 - DCRRNI ID
Funding Award Number
UIDB/00408/2020