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...
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Main Authors: | Das, Monidipa, Ghosh, Soumya K. |
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其他作者: | School of Computer Science and Engineering |
格式: | Article |
語言: | English |
出版: |
2022
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主題: | |
在線閱讀: | https://hdl.handle.net/10356/161147 |
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