Spatial Data Science: Applications and Implementations in Learning Human Mobility Patterns
NS Andersen - 2022 - portal.findresearcher.sdu.dk
In this modern era, many devices and sensors collect data with spatial and
temporalcharacteristics. This type of data is referred to as spatio-temporal data and can be …
temporalcharacteristics. This type of data is referred to as spatio-temporal data and can be …
Continuous trajectory pattern mining for mobility behaviour change detection
With the emergence of ubiquitous movement tracking technologies, developing systems
which continuously monitor or even influence the mobility behaviour of individuals in order …
which continuously monitor or even influence the mobility behaviour of individuals in order …
[PDF][PDF] Mastering the Spatio-Temporal Knowledge Discovery Process.
R Trasarti - 2010 - kdd.isti.cnr.it
Research on moving-object data analysis [25] has been recently fostered by the widespread
diffusion of new techniques and systems for monitoring, collecting and storing locationaware …
diffusion of new techniques and systems for monitoring, collecting and storing locationaware …
Mobility mining for time-dependent urban network modeling
H Arregui Martiarena - 2021 - addi.ehu.es
Mobility planning, monitoring and analysis in such a complex ecosystem as a city are very
challenging. Our contributions are expected to be a small step forward towards a more …
challenging. Our contributions are expected to be a small step forward towards a more …
Mobility data mining and knowledge discovery
N Pelekis, Y Theodoridis, N Pelekis… - … data management and …, 2014 - Springer
Abstract Knowledge discovery in trajectory databases is full of success stories in discovering
interesting behavioral patterns of moving objects that can be exploited in several fields …
interesting behavioral patterns of moving objects that can be exploited in several fields …
[PDF][PDF] A big data demand estimation model for urban congested networks
G Cantelmo, F Viti - Transport and Telecommunication Journal, 2020 - sciendo.com
The origin-destination (OD) demand estimation problem is a classical problem in transport
planning and management. Traditionally, this problem has been solved using traffic counts …
planning and management. Traditionally, this problem has been solved using traffic counts …
Collaborative trajectory mining in smart-homes to support early diagnosis of cognitive decline
E Khodabandehloo, D Riboni - IEEE Transactions on Emerging …, 2020 - ieeexplore.ieee.org
Our ageing world population claims for innovative tools to support healthcare and
independent living. In this article, we address this challenge by introducing a novel system to …
independent living. In this article, we address this challenge by introducing a novel system to …
Location prediction through Trajectory pattern mining
The pervasiveness of mobile devices and location based services produces as side effects
an increasing volume of mobility data which in turn create the opportunity for a novel …
an increasing volume of mobility data which in turn create the opportunity for a novel …
Mobility data mining: discovering movement patterns from trajectory data
The analysis of movement data has been recently fostered by the widespread diffusion of
new techniques and systems for monitoring, collecting and storing location-aware data …
new techniques and systems for monitoring, collecting and storing location-aware data …
Detecting wandering behavior of people with dementia
Wandering is a problematic behavior in people with dementia that can lead to dangerous
situations. To alleviate this problem we design an approach for the real-time automatic …
situations. To alleviate this problem we design an approach for the real-time automatic …