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Rough Set Theory Approach for Classifying Multimedia Data

  • Conference paper
Software Engineering and Computer Systems (ICSECS 2011)

Abstract

The huge size of multimedia data requires for efficient data classification and organization in providing effective multimedia data manipulation. Those valuable data must be captured and stored for potential purposes. One of the main problems in Multimedia Information System (MIS) is the management of multimedia data. As a consequence, multimedia data management has emerged as an important research area for querying, retrieving, inserting and updating of these vast multimedia data. This research considers the rough set theory technique to organize and categorize the multimedia data. Rough set theory method is useful for exploring multimedia data and simplicity to construct multimedia data classification. Classification will help to improve the performance of multimedia data retrieving and organizing process.

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Rahman, M.N.A., Lazim, Y.M., Mohamed, F., Safei, S., Deris, S.M., Yusof, M.K. (2011). Rough Set Theory Approach for Classifying Multimedia Data. In: Zain, J.M., Wan Mohd, W.M.b., El-Qawasmeh, E. (eds) Software Engineering and Computer Systems. ICSECS 2011. Communications in Computer and Information Science, vol 180. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22191-0_10

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  • DOI: https://doi.org/10.1007/978-3-642-22191-0_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22190-3

  • Online ISBN: 978-3-642-22191-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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