Using Decision tree for Data Mining of Pavement Maintenance and Management

摘要：

　　In recent years advancements in the Information Technology (IT),have enabledautomation of pavement measurement data.A large amount of data can be saved for a pavement management system.The study of pavement maintenance and management has include many methods,such as expert system,decision support analysis and data mining (DM) .In this study we use decision tree for data mining algorithm C5.0 has been used in this analysis.After acceptance of the decision tree,we make use of algorithms and computing for classification.This method is used to check the pavement management system database and make a comparison of all data.The result shown a correct classification of about 61% its still improved space.According to this result we discuss three analysis results included:1.Database information is correct or not 2.Road pavement never homogenization 3.Milling process never remove human factor.Finally useful pavement information and ways can improve system integrity and correctly.

关键词： Data Mining Decision Tree Pavement Maintenance and Management

作者: Jyh Dong Lin Wei Hsing Huang Chia Tse Hung Chien Ta Chen Jih Chiang Lee

作者单位: Dept.of Civil Engineering,National Central University No.300,Jhongda Rd, Jhongli City,Taovuan County 32001,Taiwan, R.O.C.

会议类型: 国际会议

会议名称: 2nd International Conference on Materials Engineering and Automatic Control (第二届材料工程与自动化控制国际会议)(ICMEAC2013)

会议地点: 济南

会议语种:英文

页码: 1015-1019

在线出版日期: 2013-05-18（万方平台首次上网日期，不代表论文的发表时间）