Title :
Rough Relational Operators and Rough Entropy in Rough Relational Database
Author :
Jiang, Feng ; Liu, Guozhu
Author_Institution :
Coll. of Inf. & Sci. Technol., Qingdao Univ. of Sci. & Technol., Qingdao
Abstract :
The relational database model (RDM), proposed by Codd, has been proven to be a very useful model in many applications. The inherent of the RDM is effective for precise and unambiguous data. However, real world applications often include imprecise and uncertain information. Therefore, Beaubouef et al. proposed the rough relational database model (RRDM) for the management of uncertainty in relational databases. In the RRDM, a tuple of a rough relation can have multi-values on some attributes, which is forbidden in the RDM. In this paper we give some new definitions for rough relational operators and rough entropy of rough relations in the rough relational databases. Furthermore, we discuss the possible connections between rough relational operators and rough entropy.
Keywords :
data models; entropy; relational databases; rough set theory; uncertainty handling; rough entropy; rough relational database model; rough relational operator; rough set theory; uncertainty management; Data analysis; Data mining; Educational institutions; Entropy; Fuzzy set theory; Information systems; Relational databases; Rough sets; Set theory; Uncertainty; Entropy; RDM; RRDM; Relational Operators; Rough sets;
Conference_Titel :
Knowledge Discovery and Data Mining, 2009. WKDD 2009. Second International Workshop on
Conference_Location :
Moscow
Print_ISBN :
978-0-7695-3543-2
DOI :
10.1109/WKDD.2009.115