Applying Rough Set Theory in Multimedia Data Classification

Abd Rahman, Mohd Nordin (2011) Applying Rough Set Theory in Multimedia Data Classification. International Journal on New Computer Architectures and Their Applications (IJNCAA), 1 (3). pp. 683-693. ISSN 2220-9085

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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.

Item Type: Article
Keywords: Rough set theory, multimedia data management, approximation, classification, decision tree
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: 25 May 2014 07:44
Last Modified: 25 May 2014 07:44
URI: http://erep.unisza.edu.my/id/eprint/1161

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