DocumentCode :
2913713
Title :
WCOID: Maintaining case-based reasoning systems using Weighting, Clustering, Outliers and Internal cases Detection
Author :
Smiti, Abir ; Elouedi, Zied
Author_Institution :
Univ. de Tunis, Tunis, Tunisia
fYear :
2011
fDate :
22-24 Nov. 2011
Firstpage :
356
Lastpage :
361
Abstract :
The success of a Case Based Reasoning (CBR) system depends on the quality of case data and the speed of the retrieval process that can be expensive in time especially when the number of cases gets large. To guarantee this quality, maintenance the contents of a case base becomes necessarily. In this paper, we propose a novel case base maintenance (CBM) policy named WCOID - Weighting, Clustering, Outliers and Internal cases Detection, using, in addition to clustering and outliers detection methods, feature weights in the process of improving the competence of our reduced case base. The purpose of our WCOID case base maintenance policy is to reduce both the storage requirements and search time and to focus on balancing case retrieval efficiency and competence for a large size case base. WCOID is mainly based on the idea that a large case base with weighted features is transformed to a small case base.
Keywords :
case-based reasoning; feature extraction; pattern clustering; WCOID; case base maintenance policy; case data quality; case retrieval efficiency; case-based reasoning system; clustering; content maintenance; feature weighting; internal case detection; outlier detection; retrieval process; search time; storage requirements; Accuracy; Cognition; Covariance matrix; Databases; Intelligent systems; Maintenance engineering; Optimization; Case base maintenance; Case based reasoning; Clustering; DBSCAN; Outliers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems Design and Applications (ISDA), 2011 11th International Conference on
Conference_Location :
Cordoba
ISSN :
2164-7143
Print_ISBN :
978-1-4577-1676-8
Type :
conf
DOI :
10.1109/ISDA.2011.6121681
Filename :
6121681
Link To Document :
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