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Computation of Intent Reduction Based on Incremental Construction of Concept Lattices

机译:基于概念格增量构造的意图还原计算

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Concept lattice is accurate and complete in knowledge representation and is an effective tool for data analysis and knowledge discovery. This paper focuses on incremental computation of intent reduction of concepts. By theoretical analysis of characteristic change of intent reduction of lattice nodes during incremental construction of concept lattice, it advances an incremental algorithm to compute intent reduction based on Godin algorithm.
机译:概念格在知识表示方面是准确而完整的,并且是进行数据分析和知识发现的有效工具。本文着重于概念意图减少的增量计算。通过对概念格增量构建过程中格节点意图缩减特征变化的理论分析,提出了一种基于Godin算法的增量算法。

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