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
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;
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
DOI :
10.1109/ICMLC.2003.1259773
