1. ZHAW digitalcollection
  2. Life Sciences und Facility Management
  3. Publikationen
  4. Publikationen Life Sciences und Facility Management
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBleisch, Susanne-
dc.contributor.authorDuckham, Matt-
dc.contributor.authorGalton, Antony-
dc.contributor.authorLaube, Patrick-
dc.contributor.authorLyon, Jarod-
dc.date.accessioned2018-10-16T16:31:57Z-
dc.date.available2018-10-16T16:31:57Z-
dc.date.issued2013-
dc.identifier.issn1365-8816de_CH
dc.identifier.issn1362-3087de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/11878-
dc.description.abstractIn 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.de_CH
dc.language.isodede_CH
dc.publisherTaylor & Francisde_CH
dc.relation.ispartofInternational Journal of Geographical Information Sciencede_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectSequence miningde_CH
dc.subjectData miningde_CH
dc.subject.ddc006: Spezielle Computerverfahrende_CH
dc.titleMining candidate causal relationships in movement patternsde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementLife Sciences und Facility Managementde_CH
zhaw.organisationalunitInstitut für Umwelt und Natürliche Ressourcen (IUNR)de_CH
dc.identifier.doi10.1080/13658816.2013.841167de_CH
zhaw.funding.euNode_CH
zhaw.issue2de_CH
zhaw.originated.zhawNode_CH
zhaw.pages.end382de_CH
zhaw.pages.start363de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume28de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.webfeedGeoinformatikde_CH
Appears in collections:Publikationen Life Sciences und Facility Management

Files in This Item:
There are no files associated with this item.
Show simple item record
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.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.