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This universal approach renders the model very flexible and guarantees a well-defined structure for data model integration.
The list of desiderata for data model developments, for both conceptual and physical representations, should provide some guidance for the long task at play.
Finally, we describe some initial efforts towards developing a common standard for data model quality, which may provide a model for future standardisation efforts.
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The wavelet network is an efficient method for data modeling.
It has a set of features for data modeling, visualization and interaction.
Because of this, the Premium version doesn't have some of the size limits for data models of the other versions.
A multilayer feed-forward ANN model, with Levenberg Marquardt weight error correction was used for data modeling.
In addition to the response surface analysis, a multilayer perceptron neural network was applied for data modeling.
ORM has been used for data modeling, ontology engineering, modeling business rules, XML-Schemes and data warehouses, requirements engineering and web forms.
This paper presents a novel framework for this purpose, where a graph model for data modeling is adopted to represent/capture statistical dynamics in machine operations.
The chapter also describes Chen's entity relationship (E R) modeling technique as the foundation of the principles for data modeling.
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