J4 ›› 2011, Vol. 33 ›› Issue (6): 150-153.
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ZHENG Liping,JIANG Hua,LI Junqing
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Abstract:
In order to reduce the instance influence, a PSObased choosing method is proposed in this paper. This method mainly uses the PSO algorithm to solve the optimal entropy of instances and obtain the corresponding attribute threshold value. According to the threshold, the attribute priority is determined. Finally, the attribute is chosen by priority. In our experiment, we specify the concept attribute priority in ontolgoy and verify the algorithm performance. The experimental results show that this algorithm reduces the dependency on instances and improves the accuracy. In addition, the computation quantity is reduced.
Key words: PSO;attribute priority;information gain;ontology
ZHENG Liping,JIANG Hua,LI Junqing. A PSOBased Attribute Selection Method[J]. J4, 2011, 33(6): 150-153.
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http://joces.nudt.edu.cn/EN/Y2011/V33/I6/150