Rough Set Theory Approach for Classifying Multimedia Data

Autor:	Suhailan Safei, Farham Mohamed, M. Kamir Yusof, Sufian Mat Deris, M. Nordin A. Rahman, Yuzarimi M. Lazim
Rok vydání:	2011
Předmět:	Categorization Multimedia Computer science Multimedia data management Process (engineering) Data manipulation language Data classification Construct (python library) Rough set Cluster analysis computer.software_genre computer
Zdroj:	Software Engineering and Computer Systems ISBN: 9783642221903 ICSECS (2)
DOI:	10.1007/978-3-642-22191-0_10
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a6a35e1ef1c61884cbc902f5783457b8 https://doi.org/10.1007/978-3-642-22191-0_10 Zobrazit plný text záznamu