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Extension of local association rules mining algorithm based on apriori algorithm

Author:
Zhang Chun-Sheng
,
Li Yan
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/ICSESS.2014.6933718
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1044255
Keyword(s): fault tolerant computing,grid computing,optimisation,parallel algorithms,query processing,RDMM,data grid,database,fault-tolerant mechanism,massive data query,optimization algorithm,parallel JOIN algorithm,parallel computation,Algorithm design and analysis,Clustering algorithms,Indexes,Joints,Parallel processing,Time factors,grid computation,massive data,optimization algorithm,parallel computing
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    Extension of local association rules mining algorithm based on apriori algorithm

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contributor authorZhang Chun-Sheng
contributor authorLi Yan
date accessioned2020-03-12T21:18:26Z
date available2020-03-12T21:18:26Z
date issued2014
identifier other6933577.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1044255
formatgeneral
languageEnglish
publisherIEEE
titleExtension of local association rules mining algorithm based on apriori algorithm
typeConference Paper
contenttypeMetadata Only
identifier padid8172503
subject keywordsfault tolerant computing
subject keywordsgrid computing
subject keywordsoptimisation
subject keywordsparallel algorithms
subject keywordsquery processing
subject keywordsRDMM
subject keywordsdata grid
subject keywordsdatabase
subject keywordsfault-tolerant mechanism
subject keywordsmassive data query
subject keywordsoptimization algorithm
subject keywordsparallel JOIN algorithm
subject keywordsparallel computation
subject keywordsAlgorithm design and analysis
subject keywordsClustering algorithms
subject keywordsIndexes
subject keywordsJoints
subject keywordsParallel processing
subject keywordsTime factors
subject keywordsgrid computation
subject keywordsmassive data
subject keywordsoptimization algorithm
subject keywordsparallel computing
identifier doi10.1109/ICSESS.2014.6933718
journal titleoftware Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on
filesize107092
citations0
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