set-based algorithm 集合算法
The clustering algorithm takes a data set and sorts them into groups, so you can make conclusions based on what trends you see within these groups.
群集算法是对一个数据集中的数据进行分组,以便您可以基于在这些组中看到的趋势得出结论。
An internal algorithm is used to compare newly collected statistics with a saved set of statistics, and RUNSTATS with sampling is issued based on certain conditions being triggered.
可以用内部算法来比较新收集的统计信息与已保存的一组统计信息,并基于某些触发条件发出包含抽样的RUNSTATS。
The Out-lier algorithm based on density and attribution classical discrepant data protocol algorithm based on rough set theory were presented.
提出了一种基于密度的孤立点因子算法和一种基于粗集理论的属性类别差异数据归约算法。
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