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基于决策树技术的福州市居民出行特征分析
引用本文:王凤英,黄章树.基于决策树技术的福州市居民出行特征分析[J].重庆工商大学学报(自然科学版),2007,24(3):264-268.
作者姓名:王凤英  黄章树
作者单位:福州大学,管理学院,福州350002
摘    要:居民出行调查是城市交通规划、建设、管理的基础和依据,运用数据挖掘技术中的决策树,对居民出行数据进行了分类规则挖掘,得出了福州市居民的个人情况与其出行方式选择的相关性,并对福州市的交通发展提出了相应对策。

关 键 词:数据挖掘  决策树  居民出行  算法
文章编号:1672-058X(2007)03-0264-05
收稿时间:2007-01-04
修稿时间:2007-01-042007-03-26

Analysis of the feature of the trip of Fuzhou residents based on decision tree technique
WANG Feng-ying,HUANG Zhang-shu.Analysis of the feature of the trip of Fuzhou residents based on decision tree technique[J].Journal of Chongqing Technology and Business University:Natural Science Edition,2007,24(3):264-268.
Authors:WANG Feng-ying  HUANG Zhang-shu
Institution:School of Management, Fuzhou University, Fuzhou 350002, China
Abstract:The survey on the trip of residents is the basis for the plan,construction and management of urban transportation.This paper uses the decision tree in data mining technique to mine the data of inhabitant trip based on classification law,arrives at the correlation between individual background of Fuzhou residents and their trip mode choice and gives countermeasures for the development of Fuzhou transportation.
Keywords:data mining  decision tree  inhabitant trip  algorithm
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