Geographic spatiotemporal big data correlation analysis via the Hilbert–Huang transformation Song, Weijing, Wang, Lizhe, Xiang, Yang and Zomaya, Albert Y. 2017, Geographic spatiotemporal big data correlation analysis via the Hilbert–Huang transformation, Journal of computer and system sciences, vol. 89, pp. 130-141, doi: 10.1016/j.jcss.2017.05.010. Attached Files Name Description MIMEType Size Downloads Title Geographic spatiotemporal big data correlation analysis via the Hilbert–Huang transformation Author(s) Song, Weijing Wang, Lizhe Xiang, Yang orcid.org/0000-0001-5252-0831 Zomaya, Albert Y. Journal name Journal of computer and system sciences Volume number 89 Start page 130 End page 141 Total pages 12 Publisher Elsevier Place of publication Amsterdam, The Netherlands Publication date 2017-11 ISSN 0022-0000 1090-2724 Keyword(s) big data remote sensing correlation analysis sparse representation Language eng DOI 10.1016/j.jcss.2017.05.010 Field of Research 0802 Computation Theory And Mathematics 0805 Distributed Computing HERDC Research category C1 Refereed article in a scholarly journal Copyright notice ©2017, Elsevier Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30100401 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Open Access Collection Related Links Link Description Link to full-text (open access)   Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Wed, 26 Jul 2017, 15:38:26 EST Thu, 27 Jul 2017, 05:27:40 EST Thu, 07 Sep 2017, 18:27:18 EST Fri, 08 Sep 2017, 06:04:14 EST Mon, 11 Sep 2017, 13:48:38 EST Mon, 11 Sep 2017, 13:51:07 EST Wed, 10 Nov 2021, 08:36:27 EST Filtered Full Citation counts:   Cited 15 times in TR Web of Science Cited 17 times in Scopus Search Google Scholar Access Statistics: 429 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Thu, 07 Sep 2017, 18:27:18 EST