DocumentCode :
3081121
Title :
Knowledge Dependency Relationships in Incomplete Information System Based on Tolerance Relations
Author :
Wu, Chen ; Hu, Xiaohua ; Wang, Lijuan ; Yang, Xibei ; Pan, Yi
Author_Institution :
Jiangsu Univ. of Sci. & Technol., Zhenjiang
Volume :
6
fYear :
2006
fDate :
8-11 Oct. 2006
Firstpage :
4773
Lastpage :
4777
Abstract :
In this paper we define the concepts of knowledge dependency, partial knowledge dependency and dependency degree in rough set models based on tolerance relations for incomplete information system. These concepts, not properly defined and studied in previous research study for incomplete information system, but are very important from data mining and rough set theory community. We consider two kinds of dependency relationships: one is related to the conditional attribute subset and the decision, and the other is related to two different conditional attribute subsets. We then propose several theorems based on our revised knowledge dependency relationships. We give formal proofs of the theorems and verify their correctness with some examples.
Keywords :
data mining; information systems; rough set theory; data mining; incomplete information system; knowledge dependency relationships; partial knowledge dependency; rough set models; rough set theory; tolerance relations; Artificial intelligence; Cybernetics; Data mining; Educational institutions; Information science; Information systems; Pattern recognition; Relational databases; Set theory; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
1-4244-0099-6
Electronic_ISBN :
1-4244-0100-3
Type :
conf
DOI :
10.1109/ICSMC.2006.385060
Filename :
4274669
Link To Document :
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