Meta-information in rough set theory

被引:0
作者
Su, J [1 ]
Gao, J [1 ]
机构
[1] Zhejiang Univ, Dept Comp Sci & Engn, Hangzhou 310027, Peoples R China
来源
2002 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-4, PROCEEDINGS | 2002年
关键词
meta-information; distributed information system; rough set theory;
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
In original rough set theory, an information system is represented as a single data table describing a set of objects by a set of attributes. In this paper, information system is generalized by considering a family of subsystems. An information system with more than one subsystem is called a distributed information system. A new concept called meta-information is presented to describe an information system or its subsystems. Algorithms for meta-information integration and derived meta-information generation are proposed. Many existing methods can be reimplemented on the basis of meta-information to avoid the costly work of data integration. Operations on meta-information are very simple and cost-effective. Some, applications of meta-information are also discussed.
引用
收藏
页码:729 / 734
页数:6
相关论文
共 8 条
[1]  
[Anonymous], ROUGH SETS KNOWLEDGE
[2]  
[Anonymous], ROUGH SET THEORETICA
[3]   A rough set approach to attribute generalization in data mining [J].
Chan, CC .
INFORMATION SCIENCES, 1998, 107 (1-4) :169-176
[4]  
Grzymala-Busse J. W., 1997, Fundamenta Informaticae, V31, P27
[5]   Rough computational methods for information systems [J].
Guan, JW ;
Bell, DA .
ARTIFICIAL INTELLIGENCE, 1998, 105 (1-2) :77-103
[6]   ROUGH SET REDUCTION OF ATTRIBUTES AND THEIR DOMAINS FOR NEURAL NETWORKS [J].
JELONEK, J ;
KRAWIEC, K ;
SLOWINSKI, R .
COMPUTATIONAL INTELLIGENCE, 1995, 11 (02) :339-347
[7]  
Komorowski J., 1999, ROUGH SETS TUTORIAL, P3
[8]   Using rough sets with heuristics for feature selection [J].
Zhong, N ;
Dong, J ;
Ohsuga, S .
JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, 2001, 16 (03) :199-214