A MapReduce-based parallel frequent pattern growth algorithm for spatiotemporal association analysis of mobile trajectory big data Xia, Dawen, Lu, Xiaonan, Li, Huaqing, Wang, Wendong, Li, Yantao and Zhang, Zili 2018, A MapReduce-based parallel frequent pattern growth algorithm for spatiotemporal association analysis of mobile trajectory big data, Complexity, vol. 2018, pp. 1-16, doi: 10.1155/2018/2818251. Attached Files Name Description MIMEType Size Downloads Title A MapReduce-based parallel frequent pattern growth algorithm for spatiotemporal association analysis of mobile trajectory big data Author(s) Xia, Dawen Lu, Xiaonan Li, Huaqing Wang, Wendong Li, Yantao Zhang, Zili orcid.org/0000-0002-8721-9333 Journal name Complexity Volume number 2018 Article ID 2818251 Start page 1 End page 16 Total pages 16 Publisher Hindawi Publishing Corporation Place of publication Cairo, Egypt Publication date 2018 ISSN 1076-2787 1099-0526 Keyword(s) MapReduce pattern mining spatiotemporal association analysis big data trajectory data Language eng DOI 10.1155/2018/2818251 HERDC Research category C1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2018, Dawen Xia et al. Persistent URL http://hdl.handle.net/10536/DRO/DU:30107027 Document type: Journal Article Collection: School of Information Technology Related Links Link Description 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. Versions Version Filter Type Mon, 26 Mar 2018, 14:05:35 EST Tue, 27 Mar 2018, 04:00:34 EST Tue, 27 Mar 2018, 05:04:20 EST Tue, 27 Mar 2018, 09:45:23 EST Tue, 27 Mar 2018, 09:53:08 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 82 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Mon, 26 Mar 2018, 14:05:35 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.