Rough Set Theory Approach for Classifying Multimedia Data

被引：0

作者：

Rahman, M. Nordin A. ^{[1
]}

Lazim, Yuzarimi M. ^{[1
]}

Mohamed, Farham ^{[1
]}

Safei, Suhailan ^{[1
]}

Deris, Sufian Mat ^{[1
]}

Yusof, M. Kamir ^{[1
]}

机构：

[1] Univ Sultan Zainal Abidin, Fac Informat, Kuala Terengganu 21300, Malaysia

来源：

SOFTWARE ENGINEERING AND COMPUTER SYSTEMS, PT 2 | 2011年 / 180卷

关键词：

Rough set theory; multimedia data management; approximation; classification; data clustering;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：116 / 124

页数：9

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