Choosing a case base maintenance algorithm using a meta-case base

Research output: Chapter in Book/Report/Conference proceedingsChapterpeer-review

Abstract

In Case-Based Reasoning (CBR), case base maintenance algorithms remove noisy or redundant cases from case bases. The best maintenance algorithm to use on a particular case base at a particular stage in a CBR system's lifetime will vary. In this paper, we propose a meta-case-based classifier for selecting the best maintenance algorithm. The classifier takes in a description of a case base that is to undergo maintenance, and uses meta-cases - descriptions of case bases that have undergone maintenance - to predict the best maintenance algorithm. For describing case bases, we use measures of dataset complexity. We present the results of experiments that show the classifier can come close to selecting the best possible maintenance algorithms.

Original languageEnglish
Title of host publicationRes. and Dev. in Intelligent Syst. XXVIII
Subtitle of host publicationIncorporating Applications and Innovations in Intel. Sys. XIX - AI 2011, 31st SGAI Int. Conf. on Innovative Techniques and Applications of Artificial Intel.
PublisherSpringer London
Pages167-180
Number of pages14
ISBN (Print)9781447123170
DOIs
Publication statusPublished - 2011
Event1st SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2011 - Cambridge, United Kingdom
Duration: 13 Dec 201115 Dec 2011

Publication series

NameRes. and Dev. in Intelligent Syst. XXVIII: Incorporating Applications and Innovations in Intel. Sys. XIX - AI 2011, 31st SGAI Int. Conf. on Innovative Techniques and Applications of Artificial Intel.

Conference

Conference1st SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2011
Country/TerritoryUnited Kingdom
CityCambridge
Period13/12/1115/12/11

Fingerprint

Dive into the research topics of 'Choosing a case base maintenance algorithm using a meta-case base'. Together they form a unique fingerprint.

Cite this