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It is possible for a relvar to consist of interval attributes only.
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The chapter illustrates examples of historical relvars that have involved candidate keys that in turn involved an interval attribute; the sole candidate key for relvar S_DURING.
Lateral facies heterogeneities can be observed across the studied interval, attributed to hydrodynamic activity, including tropical storms, crossing the extensive shelf area.
A new model is, therefore, presented in this paper based on interval multi-attribute decision-making theory.
Because the fitness function of EMD is weighted from the lower predictive error and the lower number of intervals, the attributes that do not use to create the classifier model mostly generate null cut-point.
The width of the confidence interval is attributed to the extreme hypomethylation of the PLAGL1 locus, which is a typical biological finding in TND but detrimental to effect size.
Furthermore, this study compared the average number of intervals per attribute of the discreteization algorithms.
The average number of intervals per attribute of dataset (r_x), (AI(r_x)) is computed as Eq. 15, where (NC(d_i^u,r_x)+1) is the number of intervals of attribute (d_i^u) in the dataset (r_x).
The average numbers of intervals per attribute of 20 imbalanced datasets for 13 discretizers are shown in Fig. 15a.
Cluster-RS-Disc attempts to obtain the natural intervals of attribute values by first partitioning using DBSCAN [27] clustering algorithm.
The average numbers of intervals per attribute of 30 standard datasets for 13 discretization algorithms are shown in Fig. 11a (calculated with Eq. 15).
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