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Reseach Article

Overview of Maintenance for Case based Reasoning Systems

by Abir Smiti, Zied Elouedi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 32 - Number 2
Year of Publication: 2011
Authors: Abir Smiti, Zied Elouedi
10.5120/3881-5423

Abir Smiti, Zied Elouedi . Overview of Maintenance for Case based Reasoning Systems. International Journal of Computer Applications. 32, 2 ( October 2011), 49-56. DOI=10.5120/3881-5423

@article{ 10.5120/3881-5423,
author = { Abir Smiti, Zied Elouedi },
title = { Overview of Maintenance for Case based Reasoning Systems },
journal = { International Journal of Computer Applications },
issue_date = { October 2011 },
volume = { 32 },
number = { 2 },
month = { October },
year = { 2011 },
issn = { 0975-8887 },
pages = { 49-56 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume32/number2/3881-5423/ },
doi = { 10.5120/3881-5423 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:18:09.155631+05:30
%A Abir Smiti
%A Zied Elouedi
%T Overview of Maintenance for Case based Reasoning Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 32
%N 2
%P 49-56
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
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. As a result, the research area of Case Base Maintenance (CBM) has drawn more and more attention to CBR systems. This paper provides a snapshot of the state of the art, reviewing some important methods of maintaining case based reasoning. We introduce a framework for distinguishing these methods and compare and analyze them. In addition, this paper also presents simulations on data sets from U.C.I repository to show the effectiveness of some CBM methods taking into account the accuracy, the size and the retrieval time of case bases. Our simulation results which are obtained by compared well known reduction techniques show that these CBM methods have good storage reduction ratios, satisfying classification accuracies and short retrieval time.

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Index Terms

Computer Science
Information Sciences

Keywords

Case based reasoning Case base maintenance evaluating case base Case base partitioning Clustering Selection method Case base optimization