Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.aei.2007.02.001
DC FieldValue
dc.titleIncremental development of CBR strategies for computing project cost probabilities
dc.contributor.authorRaphael, B.
dc.contributor.authorDomer, B.
dc.contributor.authorSaitta, S.
dc.contributor.authorSmith, I.F.C.
dc.date.accessioned2013-10-14T04:38:44Z
dc.date.available2013-10-14T04:38:44Z
dc.date.issued2007
dc.identifier.citationRaphael, B., Domer, B., Saitta, S., Smith, I.F.C. (2007). Incremental development of CBR strategies for computing project cost probabilities. Advanced Engineering Informatics 21 (3) : 311-321. ScholarBank@NUS Repository. https://doi.org/10.1016/j.aei.2007.02.001
dc.identifier.issn14740346
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/45723
dc.description.abstractThis paper presents three CBR systems that have been developed over seven years in collaboration with two industrial partners. In this research, case based reasoning (CBR) is used to compute costs of construction projects. In contrast with previous work in the field of CBR, the focus is on choosing strategies that are compatible with user needs and characteristics. Comparing the three strategies reveals advantages and drawbacks while illustrating a "real-life" evolution of a CBR architecture in an industrial context. An important conclusion is that the ways users perform tasks have a direct influence on the best architecture for the CBR system (e.g. transformational/derivational analogy). Incremental development of strategies in the final system improves user interaction, expedites time consuming tasks and favours identification of synergy between techniques such as CBR and data mining. © 2007 Elsevier Ltd. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.aei.2007.02.001
dc.sourceScopus
dc.subjectCase based reasoning
dc.subjectCost estimation
dc.subjectData mining
dc.subjectDerivational analogy
dc.subjectProbability distribution
dc.subjectTransformational analogy
dc.typeArticle
dc.contributor.departmentBUILDING
dc.description.doi10.1016/j.aei.2007.02.001
dc.description.sourcetitleAdvanced Engineering Informatics
dc.description.volume21
dc.description.issue3
dc.description.page311-321
dc.identifier.isiut000248241300008
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