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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universiti Utara Malaysia Press
2003
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| Online Access: | http://psasir.upm.edu.my/id/eprint/34761/1/An%20experimental%20evaluation%20of%20case%20slicing%20as%20a%20new%20classification%20technique.pdf |
| _version_ | 1825948513016479744 |
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| author | Shiba, Omar A. A. Sulaiman, Md. Nasir Ahmad, Fatimah Mamat, Ali |
| author_facet | Shiba, Omar A. A. Sulaiman, Md. Nasir Ahmad, Fatimah Mamat, Ali |
| author_sort | Shiba, Omar A. A. |
| collection | UPM |
| 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. |
| first_indexed | 2024-03-06T08:29:58Z |
| format | Article |
| id | upm.eprints-34761 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T08:29:58Z |
| publishDate | 2003 |
| publisher | Universiti Utara Malaysia Press |
| record_format | dspace |
| spelling | 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 |
| spellingShingle | Shiba, Omar A. A. Sulaiman, Md. Nasir Ahmad, Fatimah Mamat, Ali An experimental evaluation of case slicing as a new classification technique |
| title | 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_short | An experimental evaluation of case slicing as a new classification technique |
| title_sort | experimental evaluation of case slicing as a new classification technique |
| url | http://psasir.upm.edu.my/id/eprint/34761/1/An%20experimental%20evaluation%20of%20case%20slicing%20as%20a%20new%20classification%20technique.pdf |
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