Rules Generation for Multimedia Data Classifying using Rough Sets Theory
An efficient multimedia data management process is very important in multimedia system application. Huge size of multimedia data that distributed in multi locations makes multimedia data management more complicated. Rapid development of multimedia applications created a vast volume of multimedi...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | http://eprints.unisza.edu.my/3817/1/FH02-FIK-14-00608.pdf http://eprints.unisza.edu.my/3817/ |
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| Summary: | An efficient multimedia data management process is very important in multimedia system
application. Huge size of multimedia data that distributed in multi locations makes
multimedia data management more complicated. Rapid development of multimedia
applications created a vast volume of multimedia data and it is exponentially incremented
from time to time. This situation requires for efficient data classification and organization
technique for providing effective multimedia data manipulation process. Using rough sets
theory and web services technology, this paper proposed a new rules generation for
multimedia data classifying in collaborative environment. ROSETTA tool is applied to verify
the reliability of the generated results. The experiments show that the rough sets theory based
for multimedia data classifying is suitable to be executed in web services environment. |
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