Clustering Model of Multimedia Data By Using Rough Sets Theory

M Lazim, Yuzarimi and A Rahman, M Nordin and Mohamed, Farham (2012) Clustering Model of Multimedia Data By Using Rough Sets Theory. Proceeding Of International Conference on Computers and Information Sciences. pp. 336-340.

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Abstract

With the recent advances in electronic imaging, video devices, storage, networking and computer power, the amount of multimedia has grown enormously, and multimedia data management has become a popular way of discovering new knowledge from such a large data sets. This paper utilizes the Rough set theory to cluster multimedia data into three classes. The clustering results are then used to manage multimedia data. The experimental results show that the proposed model is effective to classify the media types of multimedia data and obtain 0.98% of average retrieval performance. The research used Rosetta software which is based on rough set theory to process the data.

Item Type: Article
Additional Information: ISBN:978-1-4673-1937-9, Venue: Kuala Lumpur Convention Centre (KLCC) on 12-14 Jun 2012, Organized by Universiti Teknologi Petronas (UTP)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / Institute: Faculty of Informatics & Computing
Depositing User: Dr Mohd Nordin Abdul Rahman
Date Deposited: 20 May 2014 02:53
Last Modified: 20 May 2014 02:53
URI: http://erep.unisza.edu.my/id/eprint/1190

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