基于决策树学习的航运企业优势航次知识发现  

Advantage Voyage Knowledge Discovery of Shipping Company Based on Decision Tree Learning

作　　者：夏明星[1] 胡正华[1] 张涛[1] 

机构地区：[1]南京航空航天大学,江苏南京210016

出　　处：《物流科技》2010年第3期133-135,共3页Logistics Sci-Tech

摘　　要：优势航次即为航运企业根据自身情况善于营运控制的航运任务类型。首先分析了航次优势知识的挖掘对象,即影响航运企业运营的航次任务特征因素,然后将决策树学习的CLS算法与C4.5算法应用到航次优势知识的发现中,最后选取了部分航次案例数据进行实证。Advantages voyage is that kind of shipping task that shipping company can operate well in accordance with their situation and ability. At first, it analyzes the mining object-shipping task characteristics; then the CLS algorithm and C4.5 algorithm is applied to the knowledge discovery; the last part of paper select the voyage cases data to empirical study.

关 键 词：决策树 航次 知识发现 

分 类 号：U695.2[交通运输工程—港口、海岸及近海工程]