A survey on spatio-temporal data analytics systems
Due to the surge of spatio-temporal data volume, the popularity of location-based services
and applications, and the importance of extracted knowledge from spatio-temporal data to …
and applications, and the importance of extracted knowledge from spatio-temporal data to …
Review and classification of trajectory summarisation algorithms: From compression to segmentation
D Amigo, D Sánchez Pedroche… - … of Distributed Sensor …, 2021 - journals.sagepub.com
With the continuous development and cost reduction of positioning and tracking
technologies, a large amount of trajectories are being exploited in multiple domains for …
technologies, a large amount of trajectories are being exploited in multiple domains for …
A hierarchical graph-based model for mobility data representation and analysis
Hierarchical representations of transportation networks should provide a better
understanding of mobility patterns and the underlying structures at various abstraction …
understanding of mobility patterns and the underlying structures at various abstraction …
A semi-supervised methodology for fishing activity detection using the geometry behind the trajectory of multiple vessels
Automatic Identification System (AIS) messages are useful for tracking vessel activity across
oceans worldwide using radio links and satellite transceivers. Such data play a significant …
oceans worldwide using radio links and satellite transceivers. Such data play a significant …
AI-empowered trajectory anomaly detection for intelligent transportation systems: A hierarchical federated learning approach
The vigorous development of positioning technology and ubiquitous computing has
spawned trajectory big data. By analyzing and processing the trajectory big data in the form …
spawned trajectory big data. By analyzing and processing the trajectory big data in the form …
[HTML][HTML] The design and development of a ship trajectory data management and analysis system based on AIS
C Feng, B Fu, Y Luo, H Li - Sensors, 2021 - mdpi.com
To address the data storage, management, analysis, and mining of ship targets, the object-
oriented method was employed to design the overall structure and functional modules of a …
oriented method was employed to design the overall structure and functional modules of a …
[HTML][HTML] What causes the spatiotemporal disparities in greenway use intensity? evidence from the central urban area of Beijing, China
C Qiu, N Qiu, T Zhang - Frontiers in Environmental Science, 2022 - frontiersin.org
The reasonable layout of green sports space has positive significance for promoting
residents' outdoor sports. Existing studies rarely use large-scale trajectory data to analyze …
residents' outdoor sports. Existing studies rarely use large-scale trajectory data to analyze …
Review on integrating geospatial big datasets and open research issues
Big data and geographic information systems (GIS) are two technologies that have
increasingly influenced many areas in the last 10 years and will continue to improve and …
increasingly influenced many areas in the last 10 years and will continue to improve and …
A semantic trajectory data warehouse for improving nursing productivity
Abstract A Trajectory Data Warehouse is a central repository of large amount of data
focusing on moving objects, which have been collected and integrated from multiple sources …
focusing on moving objects, which have been collected and integrated from multiple sources …
[PDF][PDF] Implementing sales decision support system using Data mart based on OLAP, KPI, and Data mining approaches
Organizations and companies endeavour to expand their resources, margin of profit, and a
robust management system. Managers seek tools that adapt the organizational data into …
robust management system. Managers seek tools that adapt the organizational data into …