Data-driven approaches for spatio-temporal analysis: a survey of the state-of-the-arts
With the advancement of telecommunications, sensor networks, crowd sourcing, and remote sensing technology in present days, there has been a tremendous growth in the volume of data having both spatial and temporal references. This huge volume of available spatio-temporal (ST) data along with the rec...
Principais autores: | Das, Monidipa, Ghosh, Soumya K. |
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Outros Autores: | School of Computer Science and Engineering |
Formato: | Journal Article |
Idioma: | English |
Publicado em: |
2022
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Assuntos: | |
Acesso em linha: | https://hdl.handle.net/10356/161147 |
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