Providing intelligent decision support systems with flexible data-intensive case-based reasoning
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Inclou dades d'ús des de 2022
Cita com:
hdl:2117/14066
Tipus de documentText en actes de congrés
Data publicació2010
EditorInternational Congress on Environmental Modelling and Software
Condicions d'accésAccés obert
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Abstract
In this paper we present a flexible CBR shell for Data-Intensive Case-Based Reasoning
Systems which is fully integrated in an Intelligent Data Analysis Tool entitled GESCONDA. The main subgoal of the developed tool is to create a CBR Shell where no fixed domain exists and where letting the expert/user creates (models) his/her own domain. From an abstract point of view,
the definition of the CBR can be seen as a methodology composed by four phases and each phase offers different ways to be solved. Then, since the CBR shell is integrated in GESCONDA, it inherits all its functionalities which cover the whole knowledge discovery and data mining process
and also, CBR can complement its phases with this functionality. As a result, GESCONDA becomes an intelligent decision support tool which encompasses a number of advantages including domain independence, incremental learning, platform independence and generality.
CitacióSevilla, B.; Sànchez-Marrè, M. Providing intelligent decision support systems with flexible data-intensive case-based reasoning. A: International Congress on Environmental Modelling and Software. "2010 International Congress on Environmental Modelling and Software". Otawa: International Congress on Environmental Modelling and Software, 2010, p. 2063-2072.
ISBN978-88-903574-1-1
Versió de l'editorhttp://www.iemss.org/iemss2010/Volume3.pdf
Fitxers | Descripció | Mida | Format | Visualitza |
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iEMSs vol. 3.pdf | 707,5Kb | Visualitza/Obre |