The Attribute Selection Method Based on PSO
In order to reduce the instances influence, PSO-based attribute selection method is proposed in this paper. This method mainly use PSO algorithm to solve the optimal entropy of instances and obtain the corresponding attribute threshold value. According to the threshold, the attribute priority is det...
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| Published in | Applied Mechanics and Materials Vol. 44-47; pp. 3284 - 3288 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Zurich
Trans Tech Publications Ltd
01.01.2011
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| Subjects | |
| Online Access | Get full text |
| ISBN | 3037850043 9783037850046 |
| ISSN | 1660-9336 1662-7482 1662-7482 |
| DOI | 10.4028/www.scientific.net/AMM.44-47.3284 |
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| Abstract | In order to reduce the instances influence, PSO-based attribute selection method is proposed in this paper. This method mainly use 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. At last, selecting attribute according to priority. In experiment, specify the concept attribute priority in ontolgoy and verify the algorithm performance. Experimental results show that this algorithm reduces the dependency to instances and improve the accuracy. Otherwise, the computation quantity is reduced. |
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| AbstractList | In order to reduce the instances influence, PSO-based attribute selection method is proposed in this paper. This method mainly use 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. At last, selecting attribute according to priority. In experiment, specify the concept attribute priority in ontolgoy and verify the algorithm performance. Experimental results show that this algorithm reduces the dependency to instances and improve the accuracy. Otherwise, the computation quantity is reduced. |
| Author | Li, Jun Qing Zheng, Li Ping Jiang, Hua |
| Author_xml | – givenname: Hua surname: Jiang fullname: Jiang, Hua email: Jianghua@lcu.edu.cn organization: Liaocheng University : College of Computer Science – givenname: Jun Qing surname: Li fullname: Li, Jun Qing email: Lijunqing@lcu.edu.cn organization: Liaocheng University : College of Computer Science – givenname: Li Ping surname: Zheng fullname: Zheng, Li Ping email: zhengliping80@163.com organization: Liaocheng University : College of Computer Science |
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| Cites_doi | 10.1145/507338.507355 |
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| Copyright | 2011 Trans Tech Publications Ltd Copyright Trans Tech Publications Ltd. Dec 2010 |
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| DOI | 10.4028/www.scientific.net/AMM.44-47.3284 |
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| Keywords | Information Gain Ontology Attribute Priority Particle Swarm Optimization Algorithm (PSO) |
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| Snippet | In order to reduce the instances influence, PSO-based attribute selection method is proposed in this paper. This method mainly use PSO algorithm to solve the... |
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| Title | The Attribute Selection Method Based on PSO |
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