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An experimental evaluation of case slicing as a new classification technique

Several classification techniques are designed to discover such classifications when the classifications are unknown. The techniques are tested and evaluated, however, by matching the classifications they recover against expected classifications. Several such techniques may be compared by experiment...

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Main Authors: Shiba, Omar A. A., Sulaiman, Md. Nasir, Ahmad, Fatimah, Mamat, Ali
Format: Article
Language:English
Published: Universiti Utara Malaysia Press 2003
Online Access:http://psasir.upm.edu.my/id/eprint/34761/1/An%20experimental%20evaluation%20of%20case%20slicing%20as%20a%20new%20classification%20technique.pdf
http://psasir.upm.edu.my/id/eprint/34761/
http://www.jict.uum.edu.my/index.php/previous-issues/130-journal-of-information-and-communication-technology-jict-vol-2-no-2-dec-2003
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spelling my.upm.eprints.347612016-10-10T04:29:05Z http://psasir.upm.edu.my/id/eprint/34761/ An experimental evaluation of case slicing as a new classification technique Shiba, Omar A. A. Sulaiman, Md. Nasir Ahmad, Fatimah Mamat, Ali Several classification techniques are designed to discover such classifications when the classifications are unknown. The techniques are tested and evaluated, however, by matching the classifications they recover against expected classifications. Several such techniques may be compared by experimentally evaluating their performance on the same datasets. The goal of this paper is to evaluate the case slicing technique as a new classification technique. The paper achieves this goal in three steps: Firstly, it introduces the case slicing technique as a new approach. Secondly, the paper presents applications of this technique on several datasets. Lastly, it compares the proposed approach with other selected approaches such as the K-Nearest Neighbour (K-NN), Base Learning Algorithm (C4.5) and Naïve Bayes classifier (NB) in solving the classification problems. The results obtained shows that the proposed approach is a promising method in solving decision-making problem. Universiti Utara Malaysia Press 2003 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/34761/1/An%20experimental%20evaluation%20of%20case%20slicing%20as%20a%20new%20classification%20technique.pdf Shiba, Omar A. A. and Sulaiman, Md. Nasir and Ahmad, Fatimah and Mamat, Ali (2003) An experimental evaluation of case slicing as a new classification technique. Journal of Information and Communication Technology, 2 (2). pp. 105-117. ISSN 1675-414X; ESSN: 2180-3862 http://www.jict.uum.edu.my/index.php/previous-issues/130-journal-of-information-and-communication-technology-jict-vol-2-no-2-dec-2003
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Several classification techniques are designed to discover such classifications when the classifications are unknown. The techniques are tested and evaluated, however, by matching the classifications they recover against expected classifications. Several such techniques may be compared by experimentally evaluating their performance on the same datasets. The goal of this paper is to evaluate the case slicing technique as a new classification technique. The paper achieves this goal in three steps: Firstly, it introduces the case slicing technique as a new approach. Secondly, the paper presents applications of this technique on several datasets. Lastly, it compares the proposed approach with other selected approaches such as the K-Nearest Neighbour (K-NN), Base Learning Algorithm (C4.5) and Naïve Bayes classifier (NB) in solving the classification problems. The results obtained shows that the proposed approach is a promising method in solving decision-making problem.
format Article
author Shiba, Omar A. A.
Sulaiman, Md. Nasir
Ahmad, Fatimah
Mamat, Ali
spellingShingle Shiba, Omar A. A.
Sulaiman, Md. Nasir
Ahmad, Fatimah
Mamat, Ali
An experimental evaluation of case slicing as a new classification technique
author_facet Shiba, Omar A. A.
Sulaiman, Md. Nasir
Ahmad, Fatimah
Mamat, Ali
author_sort Shiba, Omar A. A.
title An experimental evaluation of case slicing as a new classification technique
title_short An experimental evaluation of case slicing as a new classification technique
title_full An experimental evaluation of case slicing as a new classification technique
title_fullStr An experimental evaluation of case slicing as a new classification technique
title_full_unstemmed An experimental evaluation of case slicing as a new classification technique
title_sort experimental evaluation of case slicing as a new classification technique
publisher Universiti Utara Malaysia Press
publishDate 2003
url http://psasir.upm.edu.my/id/eprint/34761/1/An%20experimental%20evaluation%20of%20case%20slicing%20as%20a%20new%20classification%20technique.pdf
http://psasir.upm.edu.my/id/eprint/34761/
http://www.jict.uum.edu.my/index.php/previous-issues/130-journal-of-information-and-communication-technology-jict-vol-2-no-2-dec-2003
_version_ 1643831251215319040
score 13.211869

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