| Publikationstyp: | Beitrag in wissenschaftlicher Zeitschrift |
| Art der Begutachtung: | Peer review (Publikation) |
| Titel: | Mining candidate causal relationships in movement patterns |
| Autor/-in: | Bleisch, Susanne Duckham, Matt Galton, Antony Laube, Patrick Lyon, Jarod |
| DOI: | 10.1080/13658816.2013.841167 |
| Erschienen in: | International Journal of Geographical Information Science |
| Band(Heft): | 28 |
| Heft: | 2 |
| Seite(n): | 363 |
| Seiten bis: | 382 |
| Erscheinungsdatum: | 2013 |
| Verlag / Hrsg. Institution: | Taylor & Francis |
| ISSN: | 1365-8816 1362-3087 |
| Sprache: | Deutsch |
| Schlagwörter: | Sequence mining; Data mining |
| Fachgebiet (DDC): | 006: Spezielle Computerverfahren |
| Zusammenfassung: | In many applications, the environmental context for and drivers of movement patterns are just as important as the patterns themselves. This article adapts standard data mining techniques, combined with a foundational ontology of causation, with the objective of helping domain experts identify candidate causal relationships between movement patterns and their environmental context. In addition to data about movement and its dynamic environmental context, our approach requires as input definitions of the states and events of interest. The technique outputs causal and causal-like relationships of potential interest, along with associated measures of support and confidence. As a validation of our approach, the analysis is applied to real data about fish movement in the Murray River in Australia. The results demonstrate that the technique is capable of identifying statistically significant patterns of movement indicative of causal and causal-like relationships. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/11878 |
| Volltext Version: | Publizierte Version |
| Lizenz (gemäss Verlagsvertrag): | Lizenz gemäss Verlagsvertrag |
| Departement: | Life Sciences und Facility Management |
| Organisationseinheit: | Institut für Umwelt und Natürliche Ressourcen (IUNR) |
| Enthalten in den Sammlungen: | Publikationen Life Sciences und Facility Management |
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Bleisch, S., Duckham, M., Galton, A., Laube, P., & Lyon, J. (2013). Mining candidate causal relationships in movement patterns. International Journal of Geographical Information Science, 28(2), 363–382. https://doi.org/10.1080/13658816.2013.841167
Bleisch, S. et al. (2013) ‘Mining candidate causal relationships in movement patterns’, International Journal of Geographical Information Science, 28(2), pp. 363–382. Available at: https://doi.org/10.1080/13658816.2013.841167.
S. Bleisch, M. Duckham, A. Galton, P. Laube, and J. Lyon, “Mining candidate causal relationships in movement patterns,” International Journal of Geographical Information Science, vol. 28, no. 2, pp. 363–382, 2013, doi: 10.1080/13658816.2013.841167.
BLEISCH, Susanne, Matt DUCKHAM, Antony GALTON, Patrick LAUBE und Jarod LYON, 2013. Mining candidate causal relationships in movement patterns. International Journal of Geographical Information Science. 2013. Bd. 28, Nr. 2, S. 363–382. DOI 10.1080/13658816.2013.841167
Bleisch, Susanne, Matt Duckham, Antony Galton, Patrick Laube, and Jarod Lyon. 2013. “Mining candidate causal relationships in movement patterns.” International Journal of Geographical Information Science 28 (2): 363–82. https://doi.org/10.1080/13658816.2013.841167.
Bleisch, Susanne, et al. “Mining candidate causal relationships in movement patterns.” International Journal of Geographical Information Science, vol. 28, no. 2, 2013, pp. 363–82, https://doi.org/10.1080/13658816.2013.841167.
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