DocumentCode
475913
Title
An algorithm: Filling the missing values in the incomplete decision table
Author
Wu, Ming-Fen ; Wang, Ting-Liang
Author_Institution
Sch. of Inf., Wuyi Univ., Jiangmen
Volume
1
fYear
2008
fDate
12-15 July 2008
Firstpage
190
Lastpage
195
Abstract
This paper proposes a new algorithm for filling the missing values in the incomplete decision table based on extended models of rough sets theory with respect to limited tolerance relation. The algorithm can have the consistence of completed decision table by way of computing the similar degree between objects and limited tolerance relation. It is improvement of ROUSTIDA algorithm, and the experiment shows the new algorithm is more efficient and universally applicable.
Keywords
data mining; decision tables; rough set theory; ROUSTIDA algorithm; incomplete decision table; limited tolerance relation; missing values; rough sets theory; Cybernetics; Filling; Information analysis; Machine learning; Machine learning algorithms; Mathematical model; Mathematics; Probability distribution; Rough sets; Decision Table; Indiscernibility Relation; Limited Tolerance Relation; Rough sets; Tolerance Relation;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location
Kunming
Print_ISBN
978-1-4244-2095-7
Electronic_ISBN
978-1-4244-2096-4
Type
conf
DOI
10.1109/ICMLC.2008.4620402
Filename
4620402
Link To Document