Abstract
This dissertation combines both novel methodological work as well as high-quality scientific software development for mobility data science. It presents novel methods enabling movement data exploration that scale to massive datasets, describes the development of a novel open source scientific Python library for EDA of movement data (MovingPandas), and proposes the first structured EDA protocol for movement data.
| Originalsprache | Englisch |
|---|---|
| Titel | Proceedings of Mobile Data Management (MDM) 2024 |
| Seiten | 325 - 327 |
| ISBN (elektronisch) | 979-8-3503-7455-1 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 2024 |
| Veranstaltung | 25th IEEE International Conference on Mobile Data Management - Brussels, Belgien Dauer: 24 Juni 2024 → 27 Juni 2024 https://mdm2024.github.io/ |
Konferenz
| Konferenz | 25th IEEE International Conference on Mobile Data Management |
|---|---|
| Kurztitel | MDM 2024 |
| Land/Gebiet | Belgien |
| Stadt | Brussels |
| Zeitraum | 24/06/24 → 27/06/24 |
| Internetadresse |
Research Field
- Multimodal Analytics
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