Detecting the disaster event with social media data : a GIS based approach.
| dc.barcode | 018493 | |
| dc.centre | Faculty of Technology | |
| dc.classno | MG TH-0140 MAL | |
| dc.contributor.advisor | Schroder, Dietrich | |
| dc.contributor.author | Malik, Aakash | |
| dc.date.accessioned | 2020-11-04T10:23:59Z | |
| dc.date.available | 2020-11-04T10:23:59Z | |
| dc.date.issued | 2017 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.12725/11404 | |
| dc.pages | vi,56p.,CD-ROM | |
| dc.title | Detecting the disaster event with social media data : a GIS based approach. | |
| dc.type | Postgraduate Thesis Report |
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