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@InProceedings{grossi_et_al:LIPIcs:2020:12098, author = {Roberto Grossi and Andrea Marino and Shima Moghtasedi}, title = {{Finding Structurally and Temporally Similar Trajectories in Graphs}}, booktitle = {18th International Symposium on Experimental Algorithms (SEA 2020)}, pages = {24:1--24:13}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-148-1}, ISSN = {1868-8969}, year = {2020}, volume = {160}, editor = {Simone Faro and Domenico Cantone}, publisher = {Schloss Dagstuhl--Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/opus/volltexte/2020/12098}, URN = {urn:nbn:de:0030-drops-120989}, doi = {10.4230/LIPIcs.SEA.2020.24}, annote = {Keywords: Graph trajectory, approximated similarity, top-k similarity query} }
Keywords: | Graph trajectory, approximated similarity, top-k similarity query | |
Seminar: | 18th International Symposium on Experimental Algorithms (SEA 2020) | |
Issue date: | 2020 | |
Date of publication: | 12.06.2020 |