Title: Mining candidate causal relationships in movement patterns
Authors : Bleisch, Susanne
Duckham, Matt
Galton, Antony
Laube, Patrick
Lyon, Jarod
Published in : International Journal of Geographical Information Science
Volume(Issue) : 28
Issue : 2
Pages : 363
Pages to: 382
Publisher / Ed. Institution : Taylor & Francis
Issue Date: 2013
License (according to publishing contract) : Licence according to publishing contract
Type of review: Peer review (Publication)
Language : German
Subjects : Sequence mining; Data mining
Subject (DDC) : 005: Computer programming, programs and data
Abstract: 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.
Departement: Life Sciences and Facility Management
Organisational Unit: Institute of Natural Resource Sciences (IUNR)
Publication type: Article in scientific Journal
DOI : 10.1080/13658816.2013.841167
ISSN: 1365-8816
URI: https://digitalcollection.zhaw.ch/handle/11475/11878
Appears in Collections:Publikationen Life Sciences und Facility Management

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