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DATA MINING USING CATEGORICAL ATTRIBUTES

机译:使用分类属性进行数据挖掘

摘要

Embodiments disclosed herein are related to determining patterns of related attributes in accessed or received data. Data that is associated with attributes that describe information corresponding to the data is accessed or received. The data is grouped into one or more subsets that include data having matching combinations of the attributes. For each of the subsets, attributes of the combination of attributes associated with the subset are iteratively removed to thereby increase the amount of data included in each subset. After iteratively removing the attributes, each subset is scored to determine one or more patterns related to the combination of attributes.
机译:本文公开的实施例涉及确定访问或接收的数据中的相关属性的模式。访问或接收与描述与该数据相对应的信息的属性相关联的数据。数据被分组为一个或多个子集,这些子集包括具有属性匹配组合的数据。对于每个子集,与该子集相关联的属性组合的属性被迭代地去除,从而增加了每个子集中包括的数据量。反复删除属性后,对每个子集评分,以确定与属性组合相关的一个或多个模式。

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