Mining behavioural patterns from spatial data

被引:3
|
作者
Maiti, Sandipan [1 ]
Subramanyam, R. B., V [1 ]
机构
[1] NIT Warangal, Dept Comp Sci & Engn, Hanamkonda, Telangana, India
关键词
Similarity measure; Behavioural similarity; Behavioural patterns; Multiple datatype; Spatial data; INFORMATION; SIMILARITY; DISTANCE; ERROR;
D O I
10.1016/j.jestch.2018.10.007
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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.
引用
收藏
页码:618 / 628
页数:11
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