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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Rough Set Theory for Feature Ranking of Traditional Malay Musical Instruments Sounds Dataset
verfasst von : Norhalina Senan, Rosziati Ibrahim, Nazri Mohd Nawi, Iwan Tri Riyadi Yanto, Tutut Herawan
Erschienen in: Software Engineering and Computer Systems
Verlag: Springer Berlin Heidelberg
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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.