Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12725/11404
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorSchroder, Dietrich-
dc.contributor.authorMalik, Aakash-
dc.date.accessioned2020-11-04T10:23:59Z-
dc.date.available2020-11-04T10:23:59Z-
dc.date.issued2017-
dc.identifier.urihttp://hdl.handle.net/20.500.12725/11404-
dc.titleDetecting the disaster event with social media data : a GIS based approach.-
dc.barcode018493-
dc.pagesvi,56p.,CD-ROM-
dc.classnoMG TH-0140 MAL-
Appears in Collections:Thesis (Faculty of Technology_PG)

Files in This Item:
File Description SizeFormat 
MG TH-0140.pdf
  Restricted Access
4.81 MBAdobe PDF Request a copy
MG TH-0140 Summary.pdf384.78 kBAdobe PDF Preview PDF


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.