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Affiliation of Author(s):[1]Univ Elect Sci & Technol China, Sch Management & Econ, Chengdu 610054, Peoples R China;[2]Renmin Univ China, Sch Informat Resource Management, Beijing 100872, Peoples R China

Journal:DECISION SUPPORT SYSTEMS

Key Words:Stationary sub-trajectory; Clustering; Path network; Movement intention

Abstract:In this paper, we aim to mine the interesting locations and the frequent travel sequences in a given geo-spatial region, by taking into account the users' historic travel experiences as well as the correlation between locations. First, a new partition method is proposed to divide the trajectories into a set of line segments (which contains the stationary moving sequence), the start and end points of which are collected as characteristic points. Then some common clustering methods are introduced to cluster the geographical-similar endpoints into groups for fixed territories detecting reason. Finally an abstract path network is generated which shows the link relations between the mined fixed territories. The proposed method can be used to detect a user's frequent movement paths as well as fixed territories for a better personalized geographical recommendation. (C) 2013 Elsevier B.V. All rights reserved.

Document Type:Article

Volume:63

Page Number:39-51

ISSN No.:0167-9236

Translation or Not:no