University of Bahrain
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SCATTER: Fully Automated Classification System across Multiple Databases

Show simple item record Mehenni, Tahar 2019-06-16T09:14:08Z 2019-06-16T09:14:08Z 2019-07-01
dc.identifier.issn 2210-142X
dc.description.abstract Data mining approaches performed recently use data coming from a single table and are not adapted to multiple tables. Moreover, computer network expansion and data sources diversity require new data mining systems handling databases heterogeneity in multi-database systems. In this paper, we propose SCATTER: a fully automated classification system from multiple heterogeneous databases. SCATTER is composed of three components. The first component uses schema matching techniques to find foreign-key links across the multi-database system. The second component tries to find the most useful links that are critical for producing accurate classes across multiple databases. The last component is a decision tree classification algorithm which exploits the useful links discovered automatically across the databases. Experiments performed on real databases were very satisfactory with an average accuracy of 86.5% and showed that SCATTER system succeeded in achieving a fully automated classification from multiple heterogeneous databases. en_US
dc.language.iso en_US en_US
dc.publisher University of Bahrain en_US
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International *
dc.rights.uri *
dc.subject Classification en_US
dc.subject Heterogeneous databases en_US
dc.subject Link discovery en_US
dc.subject Link usefulnessv en_US
dc.subject Multi-database mining en_US
dc.title SCATTER: Fully Automated Classification System across Multiple Databases en_US
dc.type Article en_US
dc.volume 08 en_US
dc.issue 04 en_US
dc.pagestart 417 en_US
dc.pageend 424 en_US
dc.contributor.authorcountry Algeria en_US
dc.contributor.authoraffiliation Computer Science Department, Mohamed Boudiaf University, M’sila, Algeria en_US
dc.source.title International Journal of Computing and Digital Systems en_US
dc.abbreviatedsourcetitle IJCDS en_US

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