UTHM Institutional Repository

Feature selection for traditional Malay Musical Instruments sounds classification using rough set

Senan, Norhalina and Ibrahim, Rosziati and Mohd Nawi, Nazri and Riyadi Yanto , Iwan Tri and Herawan, Tutut (2011) Feature selection for traditional Malay Musical Instruments sounds classification using rough set. Journal of Computing, 3 (2). ISSN 2151-9617

Full text not available from this repository.


Finding the most relevant features are crucial in data mining task including musical instruments sounds classification problem. Various feature selection techniques have been proposed in this domain focusing on Western musical instruments. However, study on rough set theory for feature selection of non-Western musical instruments sounds is insufficient ans still needs further exploration. Thus, in this paper, an alternative feature selection technique using maximum modelling process comprises eight phases: data acquisition, sound editing, data representation, feature extraction, data discretization, data cleansing, feature selection using the proposed technique and finally features evaluation via classifier. The results show that the selected features generated from the proposed technique able to reduce the complexity process and improve the classification performance significantly.

Item Type: Article
Uncontrolled Keywords: rough set theory; dependency attribute; feature selection; feature selection; classification; traditional Malay musical instruments sounds
Subjects: Q Science > QA Mathematics > QA75 Calculating machines > QA75.5 Electronic computers. Computer science
Divisions: Faculty of Computer Science and Information Technology > Department of Information Security
Depositing User: Normajihan Abd. Rahman
Date Deposited: 07 Feb 2013 05:34
Last Modified: 22 Jan 2015 00:33
URI: http://eprints.uthm.edu.my/id/eprint/2962
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item