dc.contributor.author | Mehenni, Tahar | |
dc.date.accessioned | 2019-06-16T09:14:08Z | |
dc.date.available | 2019-06-16T09:14:08Z | |
dc.date.issued | 2019-07-01 | |
dc.identifier.issn | 2210-142X | |
dc.identifier.uri | https://journal.uob.edu.bh:443/handle/123456789/3550 | |
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 | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
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.identifier.doi | http://dx.doi.org/10.12785/ijcds/080410 | |
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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