Title :
An Efficient Reduction Method for Data Mining
Author :
Lifen Hou ; Yonghao Wang ; Xinyu Liu
Author_Institution :
Dept. of Electron. Eng., Yantai Automotive Eng. Prof. Coll., Yantai, China
Abstract :
The objective of this paper is to provide an efficient method to reduce the attributes of an incomplete decision table. By introducing a rough set-based measure into the fitness function of genetic algorithm, a new reduct method is proposed. Experiments show that the proposed method can dealing with the attribute uncertainty more accurately and get the accurate reducts in a fast time.
Keywords :
data mining; decision tables; genetic algorithms; rough set theory; attribute reduction method; attribute uncertainty; data mining; fitness function; genetic algorithm; incomplete decision table; rough set-based measure; Biological cells; Data mining; Genetic algorithms; Information systems; Sociology; Statistics; Uncertainty; Attribute reduction; Data mining; Genetic algorithm;
Conference_Titel :
Computer Sciences and Applications (CSA), 2013 International Conference on
Conference_Location :
Wuhan
DOI :
10.1109/CSA.2013.197
