【作者】 胡立华； 张继福； 张素兰；

【Author】 HU Lihua ZHANG Jifu ZHANG Sulan School of Computer Science and Technology, Tai-Yuan University of Science and Technology, Tai-Yuan 030024

【机构】 太原科技大学计算机科学与技术学院；

【摘要】 概念格是形式背景分析中的核心数据结构,分类规则是数据挖掘一项很重要的任务。本文首先给出了一种分类概念格渐进式构造算法,并在此算法基础上给出了分类规则的提取算法,理论表明了分类概念格要比一般概念格构造的效率高、复杂度小。最后采用恒星天体光谱数据作为形式背景, 验证了分类概念格的有效性及分类规则提取的准确性。更多还原

【Abstract】 Concept lattice is the core data structure of formal concept analysis and classification is a core task of data mining. In this paper, a new constructing algorithm of concept lattice based on classification rule is proposed, and an extracting algorithm for classification rule is advanced. The experimental results prove the correctness and validity of the extracting algorithm for classification rule by taking the celestial spectrum data as the formal context.更多还原