Sentence examples for a continuous attribute from inspiring English sources

Exact(5)

Determining which animals to sample can also be difficult when either more than one characteristic exists or the characteristic is a continuous attribute, such as age or weight.

The shape of these plots is usually circular or rectangular and the attributes measured on the plot can be either a sum of discrete objects (e.g. number of trees and the sum of their volume) or some measure of a continuous attribute (e.g. proportion of the plot covering forest, percent crown cover, and length of boundaries).

We converted the categorical attribute of SITECLCD to a continuous attribute of site productivity (C) by accounting for the effects of elevation and slope with a linear model: C={alpha}_0+{alpha}_1cdot SITECLCD+{alpha}_2cdot E+{alpha}_3cdot S (2 where α 0 through α 3 were coefficients to be estimated by ordinary least squares (Table 3).

It transforms a numeric or continuous attribute to a nominal or categorical attribute by replacing the raw values of a continuous attribute with non-overlapping interval labels (e.g., 0 5, 6 10, etc).. Different data mining algorithms are designed to handle different data types.

Age, as a continuous attribute, was measured as the absolute difference in age for each dyad of respondents.

Similar(55)

Therefore, an individual's risk-efficacy trade-off can be estimated; indeed, outcome equivalents can be derived for any continuous attribute.

This paper shows a computer aided diagnosis (CAD) combining continuous attribute discretization and association rule mining for the early diagnosis of Alzheimer's disease (AD) based on emission computed tomography images.

The algorithm divides the continuous attribute space into a finite number of hypercubes that the objects within each hypercube belongs to the same decision class.

An algorithm for continuous attribute discretization based on conditional information entropy and an algorithm for rule extraction considering the supports of rules are proposed.

This method divides the range of continuous attribute into intervals (four intervals in this study) where each interval contains equal or similar number of data points (i.e. flux values).

As a result, all the continuous attributes are converted into categorical attributes for mining.

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