Dynamic case base maintenance for a case-based reasoning system

Maria Salamó; Elisabet Golobardes

doi:10.1007/978-3-540-30498-2_10

Dynamic case base maintenance for a case-based reasoning system

Maria Salamó^*
, Elisabet Golobardes

^*Corresponding author for this work

Research output: Indexed journal article › Conference article › peer-review

4 Citations (Scopus)

Abstract

The success of a case-based reasoning system depends critically on the relevance of the case base. Much current CBR research focuses on how to compact and refine the contents of a case base at two stages, acquisition or learning, along the problem solving process. Although the two stages are closely related, there is few research on using strategies at both stages at the same time. This paper presents a model that allows to update itself dynamically taking information from the learning process. Different policies has been applied to test the model. Several experiments show its effectiveness in different domains from the UCI repository.

Original language	English
Pages (from-to)	93-103
Number of pages	11
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3315
DOIs	https://doi.org/10.1007/978-3-540-30498-2_10
Publication status	Published - 2004
Event	9th Ibero-American Conference on AI: Advances in Artificial Intelligence- IBERAMIA 2004 - Puebla, Mexico Duration: 22 Nov 2004 → 26 Nov 2004

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AU - Golobardes, Elisabet

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AB - The success of a case-based reasoning system depends critically on the relevance of the case base. Much current CBR research focuses on how to compact and refine the contents of a case base at two stages, acquisition or learning, along the problem solving process. Although the two stages are closely related, there is few research on using strategies at both stages at the same time. This paper presents a model that allows to update itself dynamically taking information from the learning process. Different policies has been applied to test the model. Several experiments show its effectiveness in different domains from the UCI repository.

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DO - 10.1007/978-3-540-30498-2_10

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AN - SCOPUS:22944464090

SN - 0302-9743

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JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

T2 - 9th Ibero-American Conference on AI: Advances in Artificial Intelligence- IBERAMIA 2004

Y2 - 22 November 2004 through 26 November 2004

ER -

Dynamic case base maintenance for a case-based reasoning system

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