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Mining Long, Sharable Patterns in Trajectories of Moving Objects.

G. Gidófalvi, and T. Pedersen. GeoInformatica, 13 (1): 27-55 (2009)

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Other publications of authors with the same name

Incremental Frequent Route Based Trajectory Prediction.A. Bachmann, C. Borgelt, and G. Gidófalvi. CTS@SIGSPATIAL, page 49. ACM, (2013)Estimating the Capacity of the Location - Based Advertising Channel.G. Gidófalvi, H. Larsen, and T. Pedersen. ICMB, page 2. IEEE Computer Society, (2007)Mining Long, Sharable Patterns in Trajectories of Moving Objects.G. Gidófalvi, and T. Pedersen. GeoInformatica, 13 (1): 27-55 (2009)Measures of transport mode segmentation of trajectories.A. Prelipcean, G. Gidófalvi, and Y. Susilo. International Journal of Geographical Information Science, 30 (9): 1763-1784 (2016)Mining Long, Sharable Patterns in Trajectories of Moving Objects.G. Gidófalvi, and T. Pedersen. STDBM, volume 174 of CEUR Workshop Proceedings, CEUR-WS.org, (2006)Highly scalable trip grouping for large-scale collective transportation systems.G. Gidófalvi, T. Pedersen, T. Risch, and E. Zeitler. EDBT, volume 261 of ACM International Conference Proceeding Series, page 678-689. ACM, (2008)Review of Big Data and Processing Frameworks for Disaster Response Applications.S. Cumbane, and G. Gidófalvi. ISPRS Int. J. Geo-Information, 8 (9): 387 (2019)Privacy-Preserving Data Mining on Moving Object Trajectories.G. Gidófalvi, X. Huang, and T. Pedersen. MDM, page 60-68. IEEE, (2007)Estimating the capacity of the Location-Based Advertising channel.G. Gidófalvi, H. Larsen, and T. Pedersen. Int. J. Mob. Commun., 6 (3): 357-375 (2008)Scalable Detection of Traffic Congestion from Massive Floating Car Data Streams.G. Gidófalvi, and C. Yang. UrbanGIS@SIGSPATIAL, page 114-121. ACM, (2015)

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Mining Long, Sharable Patterns in Trajectories of Moving Objects.

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Disambiguation of "Gidófalvi, Gyözö"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Mining Long, Sharable Patterns in Trajectories of Moving Objects.

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Mining Long, Sharable Patterns in Trajectories of Moving Objects.