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Multilevel Association Rule Mining for Bridge Resource Management Based on Immune Genetic Algorithm
Joint Authors
Liu, Zheng Jiang
Ou, Yang
Tian, Ying
Karimi, Hamid Reza
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-26
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Ou, Yang& Liu, Zheng Jiang& Karimi, Hamid Reza& Tian, Ying. 2014. Multilevel Association Rule Mining for Bridge Resource Management Based on Immune Genetic Algorithm. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1033653
Modern Language Association (MLA)
Ou, Yang…[et al.]. Multilevel Association Rule Mining for Bridge Resource Management Based on Immune Genetic Algorithm. Abstract and Applied Analysis No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1033653
American Medical Association (AMA)
Ou, Yang& Liu, Zheng Jiang& Karimi, Hamid Reza& Tian, Ying. Multilevel Association Rule Mining for Bridge Resource Management Based on Immune Genetic Algorithm. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1033653
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1033653