Multilevel Association Rule Mining for Bridge Resource Management Based on Immune Genetic Algorithm

المؤلفون المشاركون

Liu, Zheng Jiang
Ou, Yang
Tian, Ying
Karimi, Hamid Reza

المصدر

Abstract and Applied Analysis

العدد

المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-8، 8ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2014-02-26

دولة النشر

مصر

عدد الصفحات

8

التخصصات الرئيسية

الرياضيات

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1033653