Title:
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Providing intelligent decision support systems with flexible data-intensive case-based reasoning
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Author:
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Sevilla-Villanueva, Beatriz; Sànchez-Marrè, Miquel
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Other authors:
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Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics; Universitat Politècnica de Catalunya. KEMLG - Grup d'Enginyeria del Coneixement i Aprenentatge Automàtic |
Abstract:
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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. |
Abstract:
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Peer Reviewed |
Subject(s):
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-Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic -Decision support systems -- Case studies -Instance-based reasoning shell -Intelligent data analysis -GESCONDA -Sistemes d'ajuda a la decisió |
Rights:
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Document type:
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Article - Published version Conference Object |
Published by:
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International Congress on Environmental Modelling and Software
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