An Intelligent Middleware for Linear Correlation Discovery

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Show simple item record Chua, Cecil en Chiang, R en Lim, E en 2011-11-09T01:14:20Z en 2002 en
dc.identifier.citation Decision Support Systems 32(4):313-326 2002 en
dc.identifier.issn 0167-9236 en
dc.identifier.uri en
dc.description.abstract Although it is widely accepted that research from data mining, knowledge discovery, and data warehousing should be synthesized, little research addresses the integration of existing data management and analysis software. We develop an intelligent middleware that facilitates linear correlation discovery, the discovery of associations between attributes and attribute groups. This middleware integrates data management and data analysis tools to improve traditional data analysis in three perspectives: (1) identify appropriate linear correlation functions to perform based on the semantics of a data set; (2) execute appropriate functions contained in the data analysis packages; and (3) derive useful knowledge from data analysis. en
dc.publisher Elsevier B.V. en
dc.relation.ispartofseries Decision Support Systems en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. Details obtained from en
dc.rights.uri en
dc.title An Intelligent Middleware for Linear Correlation Discovery en
dc.type Journal Article en
dc.identifier.doi 10.1016/S0167-9236(01)00127-0 en
pubs.issue 4 en
pubs.begin-page 313 en
pubs.volume 32 en
dc.rights.holder Copyright: ELSEVIER SCIENCE BV en
pubs.end-page 326 en
dc.rights.accessrights en
pubs.subtype Article en
pubs.elements-id 155549 en
pubs.record-created-at-source-date 2010-10-01 en

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