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- W631580934 abstract "Knowledge discovery from knowledge bases is an important problem in the field of data mining because it can solve the problem of a lack of knowledge, which is a bottleneck in intelligent systems based on knowledge bases. With the expansion of knowledge bases and structured data becoming more complex, first-order logic is no longer capable of knowledge representation and induction, so higher-order logic is naturally used in this case. In this paper, the process by which knowledge representation is adopted from first-order logic to higher-order logic is discussed, and a decision-tree algorithm learned with higher-order logic is also presented. Experimental results show that the proposed algorithm is efficient." @default.
- W631580934 created "2016-06-24" @default.
- W631580934 creator A5030124819 @default.
- W631580934 date "2015-01-01" @default.
- W631580934 modified "2023-09-23" @default.
- W631580934 title "Knowledge Discovery from Knowledge Bases with Higher-Order Logic" @default.
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- W631580934 doi "https://doi.org/10.1007/978-3-319-11104-9_53" @default.
- W631580934 hasPublicationYear "2015" @default.
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