Mining RDF metadata for generalized association rules

In this paper, we present a novel frequent generalized pattern mining algorithm, called GP-Close, for mining generalized associations from RDF metadata. To solve the over-generalization problem encountered by existing methods, GP-Close employs the notion of generalization closure for systematic over...

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Main Authors: JIANG, Tao, TAN, Ah-hwee
格式: text
語言:English
出版: Institutional Knowledge at Singapore Management University 2006
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在線閱讀:https://ink.library.smu.edu.sg/sis_research/6574
https://ink.library.smu.edu.sg/context/sis_research/article/7577/viewcontent/Jiang_Tan2006_Chapter_MiningRDFMetadataForGeneralize.pdf
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機構: Singapore Management University
語言: English