DocumentCode :
401689
Title :
Methods for meta-information maintenance in rough set theory
Author :
Su, Jian ; Gao, Ji
Author_Institution :
Dept. of Comput. Sci. & Eng., Zhejiang Univ., China
Volume :
3
fYear :
2003
fDate :
2-5 Nov. 2003
Firstpage :
1527
Abstract :
Meta-information is a compact description of a distributed information system or its subsystems, and meta-information mechanism is an effective means to extend traditional rough set methods to distributed data environment. Object manipulation operations, e.g. deletion, insertion, and update, may happen to the information system. The meta-information of information system may be changed by these operations and need to be maintained in time. The methods for meta-information maintenance are proposed in this paper. The meta-information can be maintained dynamically to keep consistency with the underlying data of information system, which strongly enhance the practicability of meta-information mechanism.
Keywords :
distributed processing; inference mechanisms; information systems; meta data; rough set theory; distributed data environment; distributed information system; metainformation maintenance; object manipulation operations; rough set theory; Computer science; Costs; Data mining; Decision making; Distributed information systems; Information systems; Machine learning; Relational databases; Set theory; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
Type :
conf
DOI :
10.1109/ICMLC.2003.1259737
Filename :
1259737
Link To Document :
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