Association rules mining of vehicle routing for personalized traffic information service

CORC > 北京大学 > 软件与微电子学院

	Association rules mining of vehicle routing for personalized traffic information service
	Li, Jie ; Wang, Na-Na ; Li, Zhi-Peng ; Xu, Yong
刊名	xitong gongcheng lilun yu shijiansystem engineering theory and practice
	2013
英文摘要	Vehicle routing prediction is the foundation of personalized traffic information service system. In order to provide key technology support for RFID based personalized traffic service system, an improved association rules mining method is proposed to predict the vehicle routing and provide personalized recommendation. The association rules are derived from the frequent sequential patterns which are mined based on the historical routing dataset. The proposed method includes two improvements. Firstly, 0-N data structure is advocated to represent the vehicle routing records. Secondly, an improved method is developed to generate frequent 2-sequence sets. Finally, the test verified the performance improvement of proposed algorithm in terms of mining time compared with GSP method.; EI; 0; 12; 3209-3215; 33
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/410478]
专题	软件与微电子学院
推荐引用方式 GB/T 7714	Li, Jie,Wang, Na-Na,Li, Zhi-Peng,et al. Association rules mining of vehicle routing for personalized traffic information service[J]. xitong gongcheng lilun yu shijiansystem engineering theory and practice,2013.
APA	Li, Jie,Wang, Na-Na,Li, Zhi-Peng,&Xu, Yong.(2013).Association rules mining of vehicle routing for personalized traffic information service.xitong gongcheng lilun yu shijiansystem engineering theory and practice.
MLA	Li, Jie,et al."Association rules mining of vehicle routing for personalized traffic information service".xitong gongcheng lilun yu shijiansystem engineering theory and practice (2013).