Complex statistical analysis of big data: implementation and application of Apriori and FP-Growth algorithm based on MapReduce

Rong, Zhuobo, Xia, Dawen and Zhang, Zili 2013, Complex statistical analysis of big data: implementation and application of Apriori and FP-Growth algorithm based on MapReduce, in ICSESS : Proceedings of the 2013 IEEE 4th International Conference on Software Engineering and Service Sciences, Institute of Electrical and Electronics Engineers, Piscataway, N.J., pp. 968-972, doi: 10.1109/ICSESS.2013.6615467.

Attached Files
Name Description MIMEType Size Downloads

Title Complex statistical analysis of big data: implementation and application of Apriori and FP-Growth algorithm based on MapReduce
Author(s) Rong, Zhuobo
Xia, Dawen
Zhang, ZiliORCID iD for Zhang, Zili orcid.org/0000-0002-8721-9333
Conference name Software Engineering and Service Science. Conference (4th : 2013 : Beijing, China)
Conference location Beijing, China
Conference dates 2013/05/23 - 2013/05/25
Title of proceedings ICSESS : Proceedings of the 2013 IEEE 4th International Conference on Software Engineering and Service Sciences
Editor(s) [Unknown]
Publication date 2013
Series Software Engineering and Service Science Conference
Start page 968
End page 972
Total pages 5
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Keyword(s) Big data statistics
Association analysis
MapReduce
Apriori
FP-Growth
ISBN 9781467349970
ISSN 2327-0586
2327-0594
Language eng
DOI 10.1109/ICSESS.2013.6615467
Indigenous content off
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2013, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30123948

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 10 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 11 Abstract Views, 2 File Downloads  -  Detailed Statistics
Created: Wed, 24 Jul 2019, 14:16:43 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.