Efficient Mining of Volunteered Trajectory Datasets
| dc.contributor.author | Forsch, Axel | |
| dc.contributor.author | Funke, Stefan | |
| dc.contributor.author | Haunert, Jan-Henrik | |
| dc.contributor.author | Storandt, Sabine | |
| dc.date.accessioned | 2024-01-05T08:26:53Z | |
| dc.date.available | 2024-01-05T08:26:53Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | With the ubiquity of mobile devices that are capable of tracking positions (be it via GPS or Wi-Fi/mobile network localization), there is a continuous stream of location data being generated every second. These location measurements are typically not considered individually but rather as sequences, each of which reflects the movement of one person or vehicle, which we call trajectory. This chapter presents new algorithmic approaches to process and visualize trajectories both in the network-constrained and the unconstrained case. | |
| dc.description.version | published | deu |
| dc.identifier.doi | 10.1007/978-3-031-35374-1_3 | |
| dc.identifier.ppn | 1879091844 | |
| dc.identifier.uri | https://kops.uni-konstanz.de/handle/123456789/68939 | |
| dc.language.iso | eng | |
| dc.rights | Attribution 4.0 International | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject.ddc | 004 | |
| dc.title | Efficient Mining of Volunteered Trajectory Datasets | eng |
| dc.type | INCOLLECTION | |
| dspace.entity.type | Publication | |
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year={2024},
doi={10.1007/978-3-031-35374-1_3},
title={Efficient Mining of Volunteered Trajectory Datasets},
isbn={978-3-031-35373-4},
publisher={Springer Nature},
address={Cham},
booktitle={Volunteered Geographic Information : Interpretation, Visualization and Social Context},
pages={43--77},
editor={Burghardt, Dirk and Demidova, Elena and Keim, Daniel A.},
author={Forsch, Axel and Funke, Stefan and Haunert, Jan-Henrik and Storandt, Sabine}
} | |
| kops.citation.iso690 | FORSCH, Axel, Stefan FUNKE, Jan-Henrik HAUNERT, Sabine STORANDT, 2024. Efficient Mining of Volunteered Trajectory Datasets. In: BURGHARDT, Dirk, ed., Elena DEMIDOVA, ed., Daniel A. KEIM, ed.. Volunteered Geographic Information : Interpretation, Visualization and Social Context. Cham: Springer Nature, 2024, pp. 43-77. ISBN 978-3-031-35373-4. Available under: doi: 10.1007/978-3-031-35374-1_3 | deu |
| kops.citation.iso690 | FORSCH, Axel, Stefan FUNKE, Jan-Henrik HAUNERT, Sabine STORANDT, 2024. Efficient Mining of Volunteered Trajectory Datasets. In: BURGHARDT, Dirk, ed., Elena DEMIDOVA, ed., Daniel A. KEIM, ed.. Volunteered Geographic Information : Interpretation, Visualization and Social Context. Cham: Springer Nature, 2024, pp. 43-77. ISBN 978-3-031-35373-4. Available under: doi: 10.1007/978-3-031-35374-1_3 | eng |
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| kops.sourcefield | BURGHARDT, Dirk, ed., Elena DEMIDOVA, ed., Daniel A. KEIM, ed.. <i>Volunteered Geographic Information : Interpretation, Visualization and Social Context</i>. Cham: Springer Nature, 2024, pp. 43-77. ISBN 978-3-031-35373-4. Available under: doi: 10.1007/978-3-031-35374-1_3 | deu |
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| kops.sourcefield.plain | BURGHARDT, Dirk, ed., Elena DEMIDOVA, ed., Daniel A. KEIM, ed.. Volunteered Geographic Information : Interpretation, Visualization and Social Context. Cham: Springer Nature, 2024, pp. 43-77. ISBN 978-3-031-35373-4. Available under: doi: 10.1007/978-3-031-35374-1_3 | eng |
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| source.contributor.editor | Burghardt, Dirk | |
| source.contributor.editor | Demidova, Elena | |
| source.contributor.editor | Keim, Daniel A. | |
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| source.title | Volunteered Geographic Information : Interpretation, Visualization and Social Context |
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