UPM Institutional Repository

An efficient and effective case classification method based on slicing


Shiba, Omar A. A. and Sulaiman, Md. Nasir and Mamat, Ali and Ahmad, Fatimah (2006) An efficient and effective case classification method based on slicing. International Journal of the Computer, the Internet and Management, 14 (2). pp. 15-23. ISSN 0858-7027


One of the most important tasks that we have to face in real world applications is the task of classifying particular situations and /or events as belonging to a certain class. In order to solve the classification problem, accurate classifier systems or models must be built. Several computational intelligence methodologies have been applied to construct such a classifier from particular cases or data. This paper introduces a new classification method based on slicing techniques that was proposed for procedural programming languages. The paper also discusses two of common classification algorithms that are used either in data mining or in general AI. The algorithms are: Induction of Decision Tree Algorithm (ID3) and Base Learning Algorithm (C4.5). The paper also studies the comparison between the proposed method and the two selected classification algorithms using several domains.

Download File

PDF (Abstract)
An efficient and effective case classification method based on slicing.pdf

Download (34kB) | Preview

Additional Metadata

Item Type: Article
Divisions: Faculty of Computer Science and Information Technology
Publisher: Siam Technology College
Keywords: Data mining; Classification problem; Classification algorithms; Slicing techniques; Case slicing; ID3; C4.5
Depositing User: Nabilah Mustapa
Date Deposited: 10 Oct 2016 04:29
Last Modified: 10 Oct 2016 04:29
URI: http://psasir.upm.edu.my/id/eprint/48646
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item