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\iteman{io-port 05806975}
\itemau{Senan, Norhalina; Ibrahim, Rosziati; Nawi, Nazri Mohd; Yanto, Iwan Tri Riyadi; Herawan, Tutut}
\itemti{Soft set theory for feature selection of traditional Malay musical instrument sounds.}
\itemso{Zhu, Rongbo (ed.) et al., Information computing and applications. First international conference, ICICA 2010, Tangshan, China, October 15--18, 2010. Proceedings. Berlin: Springer (ISBN 978-3-642-16166-7/pbk). Lecture Notes in Computer Science 6377, 253-260 (2010).}
\itemab
Summary: 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 theoryfor 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 multi-valued domain. The result shows that the obtained features of proposed model are 35 out of 37 attributes.
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\itemcc{}
\itemut{soft set theory; feature selection; traditional Malay musical instruments}
\itemli{doi:10.1007/978-3-642-16167-4\_33}
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