Mining RDF metadata for generalized association rules: Knowledge discovery in the semantic web era
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 emphgeneralization closure for systematic...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2006
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/6696 https://ink.library.smu.edu.sg/context/sis_research/article/7699/viewcontent/1135777.1135960.pdf |
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| Institution: | Singapore Management University |
| Language: | English |
| Summary: | 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 emphgeneralization closure for systematic over-generalization reduction. |
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