Mining RDF metadata for generalized association rules: Knowledge discovery in the semantic web era

• Main Authors: JIANG, Tao, TAN, Ah-hwee
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2006
• Subjects: Association rule mining; RDF mining; Numerical Analysis and Scientific Computing; Theory and Algorithms
• 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
• Institution: Singapore Management University

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...