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Soft set theory for feature selection of traditional Malay musical instrument sounds

Senan, Norhalina and Ibrahim, Rosziati and Mohd Nawi, Nazri and Yanto, Iwan Tri Riyadi and Herawan, Tutut (2010) Soft set theory for feature selection of traditional Malay musical instrument sounds. In: ICICA'10: Proceedings of the First International Conference on Information Computing and Applications.

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Computational models of the artificial intelligence such as soft set theory have several applications. Soft data reduction can be considered as a machine learning technique for features selection. In this paper, we present the applicability of soft set theory for feature selection of Traditional Malay musical instrument sounds. The modeling processes consist of three stages: feature extraction, data discretization and finally using the multi-soft sets approach for feature selection through dimensionality reduction in multivalued domain. The result shows that the obtained features of proposed model are 35 out of 37 attributes.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: feature selection; soft set theory; traditional malay musical instruments
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: 11 Apr 2013 03:31
Last Modified: 11 Apr 2013 03:31
URI: http://eprints.uthm.edu.my/id/eprint/3573
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