Tweetluenza: predicting flu trends from twitter data Alkouz, Balsam, Aghbari, Zaher Al and Abawajy, Jemal Hussein 2019, Tweetluenza: predicting flu trends from twitter data, Big data mining and analytics, vol. 2, no. 4, pp. 273-287, doi: 10.26599/bdma.2019.9020012. Attached Files Name Description MIMEType Size Downloads Title Tweetluenza: predicting flu trends from twitter data Author(s) Alkouz, Balsam Aghbari, Zaher Al Abawajy, Jemal Hussein orcid.org/0000-0001-8962-1222 Journal name Big data mining and analytics Volume number 2 Issue number 4 Start page 273 End page 287 Total pages 15 Publisher Institute of Electrical and Electronics Engineers Place of publication Piscataway, N.J. Publication date 2019-12 ISSN 2096-0654 Keyword(s) Twitter data analysis Influenza forecasting prediction using social media social media mining Language eng DOI 10.26599/bdma.2019.9020012 Indigenous content off HERDC Research category C1 Refereed article in a scholarly journal Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30143116 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     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 Thu, 24 Sep 2020, 12:30:03 EST Thu, 24 Sep 2020, 12:46:09 EST Fri, 25 Sep 2020, 05:00:57 EST Fri, 25 Sep 2020, 06:05:40 EST Fri, 25 Sep 2020, 13:22:52 EST Fri, 25 Sep 2020, 13:24:23 EST Tue, 29 Sep 2020, 14:35:35 EST Sat, 14 Nov 2020, 01:33:26 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 10 times in Scopus Search Google Scholar Access Statistics: 71 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Thu, 24 Sep 2020, 12:46:09 EST

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.