Parallel Sequential Mining of Moving Patterns Based on Spatial Constraints in Mobile Environment

摘要：

Moving sequential pattern mining is important in the moving objects trajectory analysis and mobility prediction in mobile environment. Traditional parallel sequential pattern mining method is not applicable to the spatial constrained applications, this paper proposes a parallel sequential pattern mining method to obtain local moving sequential pattern by deleting the sequence which can not meet the spatial constraints and then use the traditional parallel-based sequential pattern mining methods to mine the obtained local moving sequential pattern in order to get global moving sequential pattern.

关键词： moving sequential pattern paralle spatial constraint

作者: Yong-Gui Zou Hong Yu Gyoung-Bae Kim

作者单位: Sino-Korea Chongqing GIS Research Center, College of Computer Science and Technology,Chongqing Unive Dept. of Computer Education, Seowon University, Korea

会议类型: 国际会议

会议名称: The 8th Asian Symposium on Geographic Information Systems from a Computer Science & Engineering Viewpoint(ASGIS 2010)(第八届亚洲地理信息系统国际学术研讨会)

会议地点: 重庆

会议语种:英文

页码: 166-169

在线出版日期: 2010-04-22（万方平台首次上网日期，不代表论文的发表时间）