... 贪心算法 ; 属性重要性 ; 信息熵 ; 聚类 [gap=757]Key words: discretization; greedy algorithm; significance of attributes; entropy of information; clustering ...
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In this paper, we propose some new methods for computing the attribute cores, the significance of attributes and the dependency between attribute subsets based on database operations.
文中基于数据库操作,提出了一种计算属性核值,衡量属性重要性,判断属性子集是否是一个约简的新方法。
参考来源 - 基于粗集的知识获取方法的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
In chapter three: a method for evaluating the significance of information system attributes based on RS theory was proposed.
第三章提出了基于粗糙集理论的信息系统属性重要性评价方法。
The algorithm needs to compute the significance of the attributes many times.
该算法需要多次计算属性重要度。
In this paper, we propose a new attributes reduction algorithm based on the significance of attribute dependencies as heuristic information and add a certain variable precision.
粗糙集理论是一种新的数据挖掘算法，文章以属性依赖重要性作为启发信息提出了一种新的属性约简算法，且加入了一定的分类正确度。
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