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Practical Prediction of Human Movements Across Device Types and Spatiotemporal Granularities
[article]
2019
arXiv
pre-print
Understanding and predicting mobility are essential for the design and evaluation of future mobile edge caching and networking. Consequently, research on prediction of human mobility has drawn significant attention in the last decade. Employing information-theoretic concepts and machine learning methods, earlier research has shown evidence that human behavior can be highly predictable. Despite existing studies, more investigations are needed to capture intrinsic mobility characteristics
arXiv:1903.00951v1
fatcat:ugr2tst2e5gfzazzfkhws6avma