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Publications: Spatial

Using Big Spatial Data for Planning User Mobility

User mobility is the movement of individuals from one place to another. Trip is a segment of user mobility. A context is any information that can be used to characterise the situation of an entity

Big Spatial Data User Mobility Spatial mobility Planning

Automated density-based clustering of spatial urban data for interactive data exploration

This paper presents a method to automatically estimate parameters for density-based clustering based on data distribution. It also includes several techniques for visualizing the clusters over a

density-based clustering spatial urban data interactivedata exploration Spatial urban Clustering

Keywords

sensor [21]
mobile [12]
behaviour [10]
Occupancy Prediction [9]
Pattern recognition [9]
trajectory [9]
Analysis [9]
Sensor Data [8]
context [8]
time series [8]

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Publications: Spatial

Using Big Spatial Data for Planning User Mobility

Automated density-based clustering of spatial urban data for interactive data exploration