DocumentCode
2491461
Title
A new rough set approach to knowledge discovery in incomplete information systems
Author
Wu, Wei-Zhi ; Mi, Ju-Sheng ; Zhang, Wen-xiu
Author_Institution
Inst. for Inf. & Syst. Sci., Xi´´an Jiaotong Univ., China
Volume
3
fYear
2003
fDate
2-5 Nov. 2003
Firstpage
1713
Abstract
The purpose of this paper is to deal with knowledge acquisition in incomplete decision tables. The concept of labeled block set in incomplete information systems is proposed. Two kinds of partitions, lower and upper approximations, are then formed for the mining of certain and possible rules in incomplete decision tables. The induction of optimal rules in such tables is also examined.
Keywords
data mining; decision tables; information systems; rough set theory; approximations; incomplete decision tables; incomplete information systems; knowledge acquisition; knowledge discovery; labeled block set; rough set; Data mining; Educational institutions; Information science; Information systems; Intelligent systems; Knowledge acquisition; Mathematics; Oceans; Rough sets; Set theory;
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.2003.1259773
Filename
1259773
Link To Document