Dec 11, 2023 · This paper formally and qualitatively compares AFD measures. We obtain a formal comparison through a novel presentation of measures in terms of Shannon and ...
Dec 11, 2023 · Abstract—Approximate functional dependencies (AFDs) are functional dependencies (FDs) that “almost” hold in a relation.
This paper formally and qualitatively compares AFD measures. We obtain a formal comparison through a novel presentation of measures in terms of Shannon and ...
Jul 26, 2024 · Request PDF | On May 13, 2024, Marcel Parciak and others published Measuring Approximate Functional Dependencies: A Comparative Study | Find ...
We review the existing measures to determine the degree of approximation of an AFD by testing them on various theoretical examples. Based on the findings of ...
Missing: Comparative Study.
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How can we reliably, without bias to sample size or dimensionality, measure the strength of such a dependence? And, how can we efficiently discover the optimal ...
In this section, we study the empirical performance of discovering approximate functional dependencies ... Information theoretic measures for clusterings ...
We examine the issue of how to measure the degree to which a functional dependency (FD) is approximate.
Our evaluation showed that the resulting method can very efficiently discover sparse and informative dependencies, allowing for data analysis on bigger data ...
Missing: Comparative | Show results with:Comparative
Measuring Approximate Functional Dependencies: A Comparative Study · Marcel ParciakSebastiaan WeytjensNiel HensFrank NevenLiesbet M. PeetersStijn Vansummeren.