Submitted by on Jan 15 2016 } Suggest Revision
By: Beatriz López, Carles Pous, Albert Pla, Pablo Gay, Jordi Coll, Francisco Gamero, Marc Compta, José Antonio Manrique, Daniel Macaya
From: eXiT research group - University of Girona
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eXiTCBR is a case-based reasoning (CBR) tool developed at the eXiT research group of the University of Girona. It goes beyond pure CBR prototyping and aims to support experimentation. The eXiT*CBR framework was designed to bring together CBR methods currently used in medical applications and data mining and visualization techniques that can be plugged into it. eXiT*CBR also facilitates the incorporation of new techniques, if required. eXiT*CBR architecture follows a modular approach based on the different phases in a CBR system. Each CBR steps is implemented as generic class. When a new method is required but not provided in the system, it can be assembled as a particular instance of a generic class. When other techniques need to be integrated or hybridized, the corresponding executable codes should also be included. It could be used to analize different configurations of a CBR system. The results achieved are obtained in form of plots that can be used for scientific purposes. For exploitation, a library could be generated that implements the choosed CBR system. A distributed CBR approach can be also designed. Plugins include genetic algorithms for feature relevance learning, and inheritance tools to interpred pedigree files.
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