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Modelling large bases of categorical data with acyclic schemes

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (1986) 243 LNCS 323-340
DOI: 10.1007/3-540-17187-8_44
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Abstract

The design and the implementation of a large base of categorical data raise several problems: storage requirements, performance of the query-processing system, consistency.. Most problems find a simple and efficient solution if and only if the database has an acyclic scheme.

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Malvestuto, F. M. (1986). Modelling large bases of categorical data with acyclic schemes. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 243 LNCS, pp. 323–340). Springer Verlag. https://doi.org/10.1007/3-540-17187-8_44

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