Boosting the Performance of CBR Applications with jCOLIBRI

jCOLIBRI is currently a reference platform in the CBR community for building CBR systems that includes facilities to design different types of CBR applications. In this paper we focus in some recently included tools that allow the improvement of performance of previously designed applications. These...

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Bibliographic Details
Main Authors: Recio-Garcia, J.A., Diaz-Agudo, B., Gonzalez-Calero, P.A.
Format: Conference Proceeding
Language:English
Subjects:
Application software
Artificial intelligence
Boosting
Buildings
Case-Based Reasoning
CBR
jCOLIBRI
Noise reduction
Recommender systems
Software engineering
Software prototyping
Software tools
Visualization
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Description
Summary:jCOLIBRI is currently a reference platform in the CBR community for building CBR systems that includes facilities to design different types of CBR applications. In this paper we focus in some recently included tools that allow the improvement of performance of previously designed applications. These optimization tools mainly facilitate to adjust features on large case bases like clustering and noise reduction techniques, and to adjust processes like refine similarity metrics through case base visualization, parallelization of retrieval or distribution of the case base and reasoning thought different agents. We present the tools and exemplify how to use them in a real scenario. We have developed an experiment for the automatic classification of a textual case base made of 1500 academic journals belonging to 20 different areas.
ISSN:1082-3409
2375-0197
DOI:10.1109/ICTAI.2009.130