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- W2894085441 abstract "We propose the use of Graph-Pattern Association Rules (GPARs) on the Yago knowledge base. Extending association rules for itemsets, GPARS can help to discover regularities between entities in knowledge bases. A rule-generated graph pattern (RGGP) algorithm was used for extracting rules from the Yago knowledge base and a graph-pattern association rules algorithm for creating association rules. Our research resulted in 1114 association rules, where the value of standard confidence at 50.18% was better than partial completeness assumption (PCA) confidence at 49.82%. Besides that the computation time for standard confidence was also better than for PCA confidence" @default.
- W2894085441 created "2018-10-05" @default.
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- W2894085441 date "2018-09-30" @default.
- W2894085441 modified "2023-10-05" @default.
- W2894085441 title "Using Graph-Pattern Association Rules On Yago Knowledge Base" @default.
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- W2894085441 doi "https://doi.org/10.48550/arxiv.1810.00326" @default.
- W2894085441 hasPublicationYear "2018" @default.
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