Displaying similar documents to “Discovery of functional and approximate functional dependencies in relational databases.”

A learning algorithm combining functional discriminant coordinates and functional principal components

Tomasz Górecki, Mirosław Krzyśko (2014)

Discussiones Mathematicae Probability and Statistics

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A new type of discriminant space for functional data is presented, combining the advantages of a functional discriminant coordinate space and a functional principal component space. In order to provide a comprehensive comparison, we conducted a set of experiments, testing effectiveness on 35 functional data sets (time series). Experiments show that constructed combined space provides a higher quality of classification of LDA method compared with component spaces.

Reasoning Methods for Designing and Surveying Relationships Described by Sets of Functional Constraints

Demetrovics, János, Molnár, András, Thalheim, Bernhard (2009)

Serdica Journal of Computing

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This work is supported by the Hungarian Scientific Research Fund (OTKA), grant T042706. Current methods of database schema design are usually based on modeling the real world as entity (or object) classes with relationships among them. Properties of relationships can be described by semantical database constraints. One of them is functional dependency, which has a key role in traditional database design. The three basic types of binary relationships that can be described...

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H. Światak (1967)

Annales Polonici Mathematici

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