Next, we design the clustered groups algorithm (CGA), which accelerates top-k groups processing for the case where data is clustered by a subset of group-by attributes.
For future reference, "1A", for example, refers to a test where the frequencies of the keywords were grouped by class and no attribute selection filter was applied to the attributes.
Mean scores were also calculated for each attribute, grouped by participant type or by country.
In Adult data example, Q-ID attributes are grouped by the three Q-IDs (Age, Sex, and Edu), so the number of equivalent records must be greater than or equal to (overline{k}.) These equivalent records are stored in SG, while the equivalent records with a number smaller than (overline{k}) are stored in SSG.
In stage three, SSG2 data will be grouped by the largest two Q-ID attributes.
The attribute matching method categorized significantly fewer patients as high-risk (0.4%) compared with the logistic regression technique (23.3%), and the prevalence of acute coronary syndrome was significantly higher in the high-risk group predicted by attribute matching compared with the high-risk group predicted by logistic regression.
SAS led the writing team in the manuscript preparation, as well as contributed to all aspects of the qualitative analysis including coding, grouping codes by attribute, and developing themes from the data.
Similarly, we plot the survival curves for high- and low-risk groups by the attributes of two-way models defined by Cox-MDR in Figure 2. Two plots of Figure 2A and B show the significant separation of the survival curves for high- and low-risk groups with the significant P-values for the log-rank test.
Attributes are grouped vertically by dividing Q and C attributes into groups.
It is impossible to identify an individual or a group by one attribute.
Nodes represent populations of meadows grouped together by their geographical attributes.
