Spatiotemporal Big Data Challenges, Approaches, and Solutions

Posted on December 28, 2016 in Special Issue
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Spatiotemporal Big Data Challenges, Approaches, and Solutions

Thu 01 Jun 2017

The issue will focus on technologies and solutions related (but not limited) to:

Spatiotemporal compression and clustering techniques effective for big data processing
Spatial data mining algorithms and solutions
Large-scale parallel and distributed implementations for geospatial datasets
Real-time processing and learning based on spatio-temporal features
Knowledge discovery implementations from spatiotemporal real world datasets;
Visual and data analytics, knowledge representation of big geospatial data
Cloud enabled Big data architectures and real world applications;

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