Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/60589
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dc.contributor.authorLiu, Ying
dc.date.accessioned2014-05-28T09:21:34Z
dc.date.available2014-05-28T09:21:34Z
dc.date.copyright2005en_US
dc.date.issued2005
dc.identifier.urihttp://hdl.handle.net/10356/60589
dc.description.abstractIntensive global competition is pushing manufacturing companies ever harder in their strife for constant profit. As Singapore evolves into a knowledge based economy, manufacturing companies here are increasingly concerned about the acquisition, management and utilization of advanced R&D information and knowledge from both internal organizations and external resources, like e-journals and digital libraries.en_US
dc.format.extent196 p.en_US
dc.language.isoenen_US
dc.subjectDRNTU::Engineering::Manufacturingen_US
dc.titleA concept-based text classification system for manufacturing information retrievalen_US
dc.typeThesis
dc.contributor.supervisorTor Shu Bengen_US
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.description.degreeDoctor of Philosophy (IMST)en_US
dc.contributor.researchSingapore-MIT Alliance Programmeen_US
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