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Generic data processing: a normalization exercise

Necco, Claudia Mónica et al · SEDICI UNLP · 2002

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This paper describes an exercise in generic data normalization theory using a data reification calculus base on the categorial approach to datatypes. We develop a relational data model in a functional language and then use transformations to refine it. The exercise removes data redundancy in close similarity to conventional relational techniques, which extract functional dependences by schema decomposition [Mai83]. Finally the model is extended using the principles of generic programming, suggesting how to scale up normalization theory to arbitrary data. Eje: Teoría Red de Universidades con Carreras en Informática (RedUNCI)

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APA 7

Necco, C. M. E. A. (2002). Generic data processing: a normalization exercise. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/23151

MLA

Necco, Claudia Mónica et al. Generic data processing: a normalization exercise. SEDICI UNLP, 2002. http://sedici.unlp.edu.ar/handle/10915/23151.

Chicago

Necco, Claudia Mónica et al. 2002. Generic data processing: a normalization exercise. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/23151.

Harvard

Necco, C. M. E. A. 2002, Generic data processing: a normalization exercise, SEDICI UNLP, available at: http://sedici.unlp.edu.ar/handle/10915/23151 [Accessed 8 Aug. 2026].

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Title
Generic data processing: a normalization exercise
Author / contributors
Necco, Claudia Mónica et al
Publisher
SEDICI UNLP
Publication year
2002
Language
English

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