Please use this identifier to cite or link to this item:
Title: Incremental development of CBR strategies for computing project cost probabilities
Authors: Raphael, B. 
Domer, B.
Saitta, S.
Smith, I.F.C.
Keywords: Case based reasoning
Cost estimation
Data mining
Derivational analogy
Probability distribution
Transformational analogy
Issue Date: 2007
Citation: Raphael, 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.
Abstract: This 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.
Source Title: Advanced Engineering Informatics
ISSN: 14740346
DOI: 10.1016/j.aei.2007.02.001
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.