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Mining multiple large data sources

Show simple item record Adhikari, A. Rao, P.R. BhanuPrasad Adhikari, J. 2015-06-04T02:44:47Z 2015-06-04T02:44:47Z 2010
dc.identifier.citation International Arab Journal of Information Technology (IAJIT). 7(3); 2010; 241-249. en_US
dc.description.abstract Effective data analysis using multiple databases requires highly accurate patterns. Local pattern analysis might extract low quality patterns from multiple large databases. Thus, it is necessary to improve mining multiple databases using local pattern analysis. We present existing specialized as well as generalized techniques for Milling multiple large databases. We formalize the idea of multi-database mining using local pattern analysis and propose a nest, generalized technique for mining multiple large databases. It improves the quality of synthesized global patterns significantly. We conduct experiments on both real and synthetic databases to judge the effectiveness of the proposed technique. en_US
dc.publisher Zarqa University en_US
dc.subject Computer Science and Technology en_US
dc.title Mining multiple large data sources en_US
dc.type Journal article en_US
dc.identifier.impf y

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