Openly accessible

Programming Foundations for Scientific Big Data Analytics

Zhao, W, Gao, Longxiang and Liu, A 2018, Programming Foundations for Scientific Big Data Analytics, Scientific Programming, vol. 2018, doi: 10.1155/2018/2707604.

Attached Files
Name Description MIMEType Size Downloads

Title Programming Foundations for Scientific Big Data Analytics
Author(s) Zhao, W
Gao, LongxiangORCID iD for Gao, Longxiang orcid.org/0000-0002-3026-7537
Liu, A
Journal name Scientific Programming
Volume number 2018
Publisher Hindawi Publishing Corporation
Place of publication Cairo, Egypt
Publication date 2018-01-01
ISSN 1058-9244
DOI 10.1155/2018/2707604
Field of Research 08 Information And Computing Sciences
09 Engineering
HERDC Research category CN Other journal article
ERA Research output type X Not reportable
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30109952

Connect to link resolver
 
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
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 3 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 37 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Mon, 16 Jul 2018, 13:52:46 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.