Multilevel Association Rule Mining for Bridge Resource Management Based on Immune Genetic Algorithm
This paper is concerned with the problem of multilevel association rule mining for bridge resource management (BRM) which is announced by IMO in 2010. The goal of this paper is to mine the association rules among the items of BRM and the vessel accidents. However, due to the indirect data that can b...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | Abstract and Applied Analysis |
| Online Access: | http://dx.doi.org/10.1155/2014/278694 |
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| _version_ | 1832568412977496064 |
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| author | Yang Ou Zheng Jiang Liu Hamid Reza Karimi Ying Tian |
| author_facet | Yang Ou Zheng Jiang Liu Hamid Reza Karimi Ying Tian |
| author_sort | Yang Ou |
| collection | DOAJ |
| description | This paper is concerned with the problem of multilevel association rule mining for bridge resource management (BRM) which is announced by IMO in 2010. The goal of this paper is to mine the association rules among the items of BRM and the vessel accidents. However, due to the indirect data that can be collected, which seems useless for the analysis of the relationship between items of BIM and the accidents, the cross level association rules need to be studied, which builds the relation between the indirect data and items of BRM. In this paper, firstly, a cross level coding scheme for mining the multilevel association rules is proposed. Secondly, we execute the immune genetic algorithm with the coding scheme for analyzing BRM. Thirdly, based on the basic maritime investigation reports, some important association rules of the items of BRM are mined and studied. Finally, according to the results of the analysis, we provide the suggestions for the work of seafarer training, assessment, and management. |
| format | Article |
| id | doaj-art-1a24f847adc14c6ca73f72880a8299e8 |
| institution | Kabale University |
| issn | 1085-3375 1687-0409 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Abstract and Applied Analysis |
| spelling | doaj-art-1a24f847adc14c6ca73f72880a8299e82025-02-03T00:59:05ZengWileyAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/278694278694Multilevel Association Rule Mining for Bridge Resource Management Based on Immune Genetic AlgorithmYang Ou0Zheng Jiang Liu1Hamid Reza Karimi2Ying Tian3College of Navigation, Dalian Maritime University, Dalian 116026, ChinaCollege of Navigation, Dalian Maritime University, Dalian 116026, ChinaDepartment of Engineering, Faculty of Engineering and Science, The University of Agder, 4898 Grimstad, NorwayCollege of Engineering, Bohai University, Jinzhou 121000, ChinaThis paper is concerned with the problem of multilevel association rule mining for bridge resource management (BRM) which is announced by IMO in 2010. The goal of this paper is to mine the association rules among the items of BRM and the vessel accidents. However, due to the indirect data that can be collected, which seems useless for the analysis of the relationship between items of BIM and the accidents, the cross level association rules need to be studied, which builds the relation between the indirect data and items of BRM. In this paper, firstly, a cross level coding scheme for mining the multilevel association rules is proposed. Secondly, we execute the immune genetic algorithm with the coding scheme for analyzing BRM. Thirdly, based on the basic maritime investigation reports, some important association rules of the items of BRM are mined and studied. Finally, according to the results of the analysis, we provide the suggestions for the work of seafarer training, assessment, and management.http://dx.doi.org/10.1155/2014/278694 |
| spellingShingle | Yang Ou Zheng Jiang Liu Hamid Reza Karimi Ying Tian Multilevel Association Rule Mining for Bridge Resource Management Based on Immune Genetic Algorithm Abstract and Applied Analysis |
| title | Multilevel Association Rule Mining for Bridge Resource Management Based on Immune Genetic Algorithm |
| title_full | Multilevel Association Rule Mining for Bridge Resource Management Based on Immune Genetic Algorithm |
| title_fullStr | Multilevel Association Rule Mining for Bridge Resource Management Based on Immune Genetic Algorithm |
| title_full_unstemmed | Multilevel Association Rule Mining for Bridge Resource Management Based on Immune Genetic Algorithm |
| title_short | Multilevel Association Rule Mining for Bridge Resource Management Based on Immune Genetic Algorithm |
| title_sort | multilevel association rule mining for bridge resource management based on immune genetic algorithm |
| url | http://dx.doi.org/10.1155/2014/278694 |
| work_keys_str_mv | AT yangou multilevelassociationruleminingforbridgeresourcemanagementbasedonimmunegeneticalgorithm AT zhengjiangliu multilevelassociationruleminingforbridgeresourcemanagementbasedonimmunegeneticalgorithm AT hamidrezakarimi multilevelassociationruleminingforbridgeresourcemanagementbasedonimmunegeneticalgorithm AT yingtian multilevelassociationruleminingforbridgeresourcemanagementbasedonimmunegeneticalgorithm |