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Text knowledge analysis plays a very important role in knowledge processing. In order to find interesting patters, we introduce text analysis into the formal concept analysis(FCA) field. FCA is a valid tool for data mining and knowledge processing. In the paper, we present a method for extracting the conceptual patterns and concept lattice from multiple knowledge sources. The method consists of two...
The object of this paper is object projection granular space and the attribute projection granular space. The generating method of granular coordination was given by projection granular space family, and using this coordination, we achieve a general method to compose and decompose any concept lattice, which avoid the strict condition in decomposition of subdirect, Atlas, and tentorial, and greatly...
Query expansion technology and formal concept analysis (FCA) are two effective methods for improving the query precision in the information retrieval field. In this paper, formal concept analysis which aims at modeling concepts is adopted to expand the user query and a new query expansion approach is proposed. We use the TREC as the contexts and build concept lattices. Then the expansion source is...
Formal concept analysis (FCA) is a method mainly used for the analysis of data, which identifies conceptual structures among data sets. Central to FCA is the notion of formal context. A formal context is usually defined as a binary relation between a set of objects and a set of attributes. But in real world, it is more meaningful to consider the direct relations between objects (or individuals). In...
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