首页> 外国专利> Application of machine learning methods for mining association rules in plant and animal data sets containing molecular genetic markers, followed by classification or prediction utilizing features created from these association rules

Application of machine learning methods for mining association rules in plant and animal data sets containing molecular genetic markers, followed by classification or prediction utilizing features created from these association rules

机译:机器学习方法在包含分子遗传标记的动植物数据集中挖掘关联规则的应用,然后利用根据这些关联规则创建的特征进行分类或预测

摘要

The disclosure relates to the use of one or more association rule mining algorithms to mine data sets containing features created from at least one plant or animal-based molecular genetic marker, find association rules and utilize features created from these association rules for classification or prediction.
机译:本公开涉及一种或多种关联规则挖掘算法的使用,以挖掘包含从至少一种基于植物或动物的分子遗传标记创建的特征的数据集,找到关联规则,并将从这些关联规则创建的特征用于分类或预测。

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