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dc.contributor.authorYadamjav, ME
dc.contributor.authorBao, Z
dc.contributor.authorZheng, B
dc.contributor.authorChoudhury, FM
dc.contributor.authorSamet, H
dc.date.accessioned2020-12-14T06:10:55Z
dc.date.available2020-12-14T06:10:55Z
dc.date.issued2020-08
dc.identifier.citationYadamjav, M. E., Bao, Z., Zheng, B., Choudhury, F. M. & Samet, H. (2020). Querying Recurrent Convoys over Trajectory Data. ACM Transactions on Intelligent Systems and Technology, 11 (5), pp.1-24. https://doi.org/10.1145/3400730.
dc.identifier.issn2157-6904
dc.identifier.urihttp://hdl.handle.net/11343/254130
dc.description.abstractMoving objects equipped with location-positioning devices continuously generate a large amount of spatio-Temporal trajectory data. An interesting finding over a trajectory stream is a group of objects that are travelling together for a certain period of time. We observe that existing studies on mining co-moving objects do not consider an important correlation between co-moving objects, which is the reoccurrence of the co-moving pattern. In this study, we propose the problem of finding recurrent co-moving patterns from streaming trajectories, enabling us to discover recent co-moving patterns that are repeated within a given time period. Experimental results on real-life trajectory data verify the efficiency and effectiveness of our method.
dc.languageen
dc.publisherACM
dc.titleQuerying Recurrent Convoys over Trajectory Data
dc.typeJournal Article
dc.identifier.doi10.1145/3400730
melbourne.affiliation.departmentComputing and Information Systems
melbourne.source.titleACM Transactions on Intelligent Systems and Technology
melbourne.source.volume11
melbourne.source.issue5
melbourne.source.pages1-24
melbourne.identifier.arcDP180102050
melbourne.elementsid1466280
melbourne.openaccess.urlhttps://ink.library.smu.edu.sg/sis_research/5277
melbourne.openaccess.statusAccepted version
melbourne.contributor.authorChoudhury, Farhana
melbourne.contributor.authorBao, Zhifeng
dc.identifier.eissn2157-6912
melbourne.identifier.fundernameidAustralian Research Council, DP180102050
melbourne.accessrightsAccess this item via the Open Access location


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