A Novel Classification Approach through Integration of Rough Sets and Back-Propagation Neural Network
Classification is an important theme in data mining. Rough sets and neural networks are the most common techniques applied in data mining problems. In order to extract useful knowledge and classify ambiguous patterns effectively, this paper presented a hybrid algorithm based on the integration of ro...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2014/797432 |
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| _version_ | 1832563409267195904 |
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| author | Lei Si Xin-hua Liu Chao Tan Zhong-bin Wang |
| author_facet | Lei Si Xin-hua Liu Chao Tan Zhong-bin Wang |
| author_sort | Lei Si |
| collection | DOAJ |
| description | Classification is an important theme in data mining. Rough sets and neural networks are the most common techniques applied in data mining problems. In order to extract useful knowledge and classify ambiguous patterns effectively, this paper presented a hybrid algorithm based on the integration of rough sets and BP neural network to construct a novel classification system. The attribution values were discretized through PSO algorithm firstly to establish a decision table. The attribution reduction algorithm and rules extraction method based on rough sets were proposed, and the flowchart of proposed approach was designed. Finally, a prototype system was developed and some simulation examples were carried out. Simulation results indicated that the proposed approach was feasible and accurate and was outperforming others. |
| format | Article |
| id | doaj-art-1cd1aa6af1ca4df5860c552cfe30ecad |
| institution | Kabale University |
| issn | 1110-757X 1687-0042 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Applied Mathematics |
| spelling | doaj-art-1cd1aa6af1ca4df5860c552cfe30ecad2025-02-03T01:20:15ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/797432797432A Novel Classification Approach through Integration of Rough Sets and Back-Propagation Neural NetworkLei Si0Xin-hua Liu1Chao Tan2Zhong-bin Wang3School of Mechatronic Engineering, China University of Mining & Technology, Xuzhou 221116, ChinaSchool of Mechatronic Engineering, China University of Mining & Technology, Xuzhou 221116, ChinaSchool of Mechatronic Engineering, China University of Mining & Technology, Xuzhou 221116, ChinaSchool of Mechatronic Engineering, China University of Mining & Technology, Xuzhou 221116, ChinaClassification is an important theme in data mining. Rough sets and neural networks are the most common techniques applied in data mining problems. In order to extract useful knowledge and classify ambiguous patterns effectively, this paper presented a hybrid algorithm based on the integration of rough sets and BP neural network to construct a novel classification system. The attribution values were discretized through PSO algorithm firstly to establish a decision table. The attribution reduction algorithm and rules extraction method based on rough sets were proposed, and the flowchart of proposed approach was designed. Finally, a prototype system was developed and some simulation examples were carried out. Simulation results indicated that the proposed approach was feasible and accurate and was outperforming others.http://dx.doi.org/10.1155/2014/797432 |
| spellingShingle | Lei Si Xin-hua Liu Chao Tan Zhong-bin Wang A Novel Classification Approach through Integration of Rough Sets and Back-Propagation Neural Network Journal of Applied Mathematics |
| title | A Novel Classification Approach through Integration of Rough Sets and Back-Propagation Neural Network |
| title_full | A Novel Classification Approach through Integration of Rough Sets and Back-Propagation Neural Network |
| title_fullStr | A Novel Classification Approach through Integration of Rough Sets and Back-Propagation Neural Network |
| title_full_unstemmed | A Novel Classification Approach through Integration of Rough Sets and Back-Propagation Neural Network |
| title_short | A Novel Classification Approach through Integration of Rough Sets and Back-Propagation Neural Network |
| title_sort | novel classification approach through integration of rough sets and back propagation neural network |
| url | http://dx.doi.org/10.1155/2014/797432 |
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