eCite Digital Repository

Data Driven Knowledge Discovery for Earth Sciences: Aims and Actions


Reading, A and Cracknell, M and Kuhn, S and Hardy, S, Data Driven Knowledge Discovery for Earth Sciences: Aims and Actions, Proceedings of Australian Earth Sciences Convention, 26-30 June 2016, Adelaide, Australia, pp. 372. ISSN 0729-011X (2016) [Conference Extract]

PDF (Conference Abstract, p. 1, 60 KB)
Pending copyright assessment - Request a copy

Item Details

Item Type:Conference Extract
Keywords:Big Data, Machine Learning, Supervised, Unsupervised, High Dimensional, Communication
Research Division:Information and Computing Sciences
Research Group:Computer vision and multimedia computation
Research Field:Pattern recognition
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the earth sciences
UTAS Author:Reading, A (Professor Anya Reading)
UTAS Author:Cracknell, M (Dr Matthew Cracknell)
UTAS Author:Kuhn, S (Mr Stephen Kuhn)
ID Code:111268
Year Published:2016
Deposited By:CODES ARC
Deposited On:2016-09-07
Last Modified:2016-09-09

Repository Staff Only: item control page