Latent representation models for mining geo-spatial data
With the proliferation of mobile devices and location-based services (LBS), huge amounts of geo-spatial data (e.g., check-ins, points of interest, GPS traces) are becoming available from numerous sources. These data provides us unprecedented opportunities to uncover the complex semantics and dynamic...
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| Format: | Thesis-Doctor of Philosophy |
| Langue: | English |
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Nanyang Technological University
2020
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| Accès en ligne: | https://hdl.handle.net/10356/137358 |