首页> 外国专利> application of machine learning methods to association rules in the mining of datasets containing molecular genetic markers of plants and animals, followed by classification or prediction using attributes created from these association rules

application of machine learning methods to association rules in the mining of datasets containing molecular genetic markers of plants and animals, followed by classification or prediction using attributes created from these association rules

机译:将机器学习方法应用于关联规则以挖掘包含动植物分子遗传标记的数据集,然后使用根据这些关联规则创建的属性进行分类或预测

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:本公开涉及使用一种或多种关联规则挖掘算法来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,找到关联规则并将利用这些关联规则创建的特征用于分类或预测。

著录项

  • 公开/公告号BRPI1015129A2

    专利类型

  • 公开/公告日2016-07-12

    原文格式PDF

  • 申请/专利权人 DOW AGROSCIENCES LLC;

    申请/专利号BR2010PI15129

  • 发明设计人 DANIEL CARAVIELLO;REETAL PAI;RINKAL PATEL;

    申请日2010-06-03

  • 分类号G06N5/02;

  • 国家 BR

  • 入库时间 2022-08-21 14:26:38

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