Classification Rules Mining Based on Intent Reduction

B. Ge, Xiangguang Meng
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Abstract

Concept lattice is accurate and complete in knowledge representation and is an effective tool for data analysis and knowledge discovery. This paper focuses on classifcation rules mining based on concept lattices. By modifying incremental computation of intent reduction of concepts, it develops a method to mine affirmative classification rules and approximate classification rules using intent reduction.
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基于意图约简的分类规则挖掘
概念格的知识表示准确、完整,是数据分析和知识发现的有效工具。本文主要研究基于概念格的分类规则挖掘。通过改进概念意图约简的增量计算,提出了一种利用意图约简挖掘肯定分类规则和近似分类规则的方法。
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