UTHM Institutional Repository

Rough set theory for feature ranking of traditional Malay musical instruments sounds dataset

Senan, Norhalina and Ibrahim, Rosziati and Mohd Nawi, Nazri and Yanto, Iwan Tri Riyadi and Herawan, Tutut (2011) Rough set theory for feature ranking of traditional Malay musical instruments sounds dataset. In: International Conference on Software Engineering and Computer Systems.

[img]
Preview
Text
P10756_18b37cf7ff663237e5ac48a1f62959d9.pdf

Download (142kB) | Preview

Abstract

This paper presents an alternative feature ranking technique for Traditional Malay musical instruments sounds dataset using rough-set theory based on the maximum degree of dependency of attributes. The modeling process comprises seven phases: data acquisition, sound editing, data representation, feature extraction, data discretization, data cleansing, and finally feature ranking using the proposed technique. The results show that the selected features generated from the proposed technique able to reduce the complexity process.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Rough set theory; dependency of attribute; feature ranking; traditional Malay musical instruments sounds dataset.
Subjects: T Technology > T Technology (General)
Depositing User: Mr Abdul Rahim Mat Radzuan
Date Deposited: 02 Feb 2020 04:02
Last Modified: 02 Feb 2020 04:02
URI: http://eprints.uthm.edu.my/id/eprint/12091
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year