|本期目录/Table of Contents|

[1]靳志宏,徐奇,兰辉.集装箱多式联运的多维数据分析与数据挖掘[J].集美大学学报(自然科学版),2011,16(4):268-274.
　JIN Zhi-hong,XU Qi,LAN Hui.The Multi-dimensional Data Analysis and Data Mining for Container Multimodal Transportation[J].Journal of Jimei University,2011,16(4):268-274.
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《集美大学学报（自然科学版）》[ISSN:1007-7405/CN:35-1186/N]

卷:
第16卷
期数:
2011年第4期
页码:
268-274
栏目:
航海技术与物流工程
出版日期:
2011-07-25

文章信息/Info

Title:
The Multi-dimensional Data Analysis and Data Mining for Container Multimodal Transportation
作者:
靳志宏1; 徐奇1; 兰辉1; 2
(1.大连海事大学交通运输管理学院,辽宁 大连 116026;2.大连集益物流有限公司,辽宁 大连 116004)
Author(s):
JIN Zhi-hong1; XU Qi1; LAN Hui1; 2
(1.College of Transportation Management,Dalian Maritime University,Dalian 116026,China;2.Dalian Jiyi Logistics Co.LTD,Dalian 116004,China)
关键词:
集装箱; 多式联运; 多维数据分析; 数据挖掘
Keywords:
container; multimodal; multi-dimensional analysis; data mining
分类号:
-
DOI:
-
文献标志码:
-
摘要:
在对集装箱多式联运各环节进行深入分析基础上，基于雪花型架构构建了多式联运多维数据库，在此基础上对其进行多维数据分析，进而对多维数据库中的数据进行了数据挖掘.前端展示证明了该技术运用于集装箱多式联运信息处理的可行性和有效性，可为集装箱多式联运提供决策支持
Abstract:
Based on the analysis of all the process during the multimodal transportation,this paper constructed a multi-dimensional database.The multi-dimensional data analysis and data mining were made on the database.The application show proved the feasibility and effectiveness of the multi-dimensional analysis and data mining in the container multimodal transportation information processing.Decision support could be included from the application

参考文献/References:

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备注/Memo

备注/Memo:
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更新日期/Last Update: 2018-06-13