The ascertainment of the core attribute set is the important process for discovering decision rules from mass data.
核属性集的确定是从海量数据中发现决策规则的重要步骤。
The ascertainment of the core attribute set of large database is an important process of generating the classifying rules.
大型数据库中核属性集的确定是生成分类规则算法的重要步骤。
Attribute reduction is one of the key problems in rough set theory, and determination of core attribute is the basis to solve the problem of attribute reduction.
属性约简是粗糙集理论研究的一个核心问题，而核属性的确定往往是决策表中属性约简的基础。
However, knowledge reduction is dependent on a series of supporting algorithms such as the calculation of attribute significance, finding core, attribute reduction and value reduction.
然而，知识约简离不开一系列的算法作支撑，包括判断属性的重要性、求核、属性约简和值约简等。
However, knowledge reduction is dependent on a series of supporting algorithms such as the calculation of attribute significance, finding core, attribute reduction and value reduction.
然而，知识约简离不开一系列的算法作支撑，包括判断属性的重要性、求核、属性约简和值约简等。
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