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Mining behavioural patterns from spatial data
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DOI：10.1016/j.jestch.2018.10.007.png)
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Abstract
En 中文
Behaviour of objects are determined from collections of responses, reactions, movements, properties, which are noted as attributes along with time and location in some spatial dataset. Behavioural Pattern finds a set of objects having similar behaviour. We have explored all types of possible measures to define similarity among objects having some similar features. Objects from same entity will have same set of features, whereas objects from different entity may have some similar features. A similarity measure has been proposed for mining behavioural patterns in different entity set. An approach for computing behavioural patterns is also proposed in this paper. Recent applications are focusing to understand the interaction between objects from various entity set, needs to measure behavioural similarity among objects within a region of interest. This newly defined measure and mining approach will defiantly help many applications to analyse data and extract important knowledge. (C) 2018 Karabuk University. Publishing services by Elsevier B.V.
Keywords:
Similarity measure
Behavioural similarity
Behavioural patterns
Multiple datatype
Spatial data
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