Analysis of the progressive sampling-based approach using real life datasets

Bibliographic Details
Main Authors:	Umarani Venkatapathy, Punithavalli Muthusamy
Format:	Article
Language:	English
Published:	De Gruyter 2011-06-01
Series:	Open Computer Science
Subjects:	data mining frequent itemset association rule mining (arm) apriori sampling progressive sampling sample size temporal characteristics negative border midpoint itemset
Online Access:	https://doi.org/10.2478/s13537-011-0016-y

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spelling	doaj-6b2948fd0b054b79b759c6c114b5abc62021-09-06T19:23:06ZengDe GruyterOpen Computer Science2299-10932011-06-011222124210.2478/s13537-011-0016-ys13537-011-0016-yAnalysis of the progressive sampling-based approach using real life datasetsUmarani Venkatapathy0Punithavalli Muthusamy1Anna University, Coimbatore, IndiaDepartment of Computer Applications, SNS College of Engineering, Coimbatore, Indiahttps://doi.org/10.2478/s13537-011-0016-ydata miningfrequent itemsetassociation rule mining (arm)apriorisamplingprogressive samplingsample sizetemporal characteristicsnegative bordermidpoint itemset
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Umarani Venkatapathy Punithavalli Muthusamy
spellingShingle	Umarani Venkatapathy Punithavalli Muthusamy Analysis of the progressive sampling-based approach using real life datasets Open Computer Science data mining frequent itemset association rule mining (arm) apriori sampling progressive sampling sample size temporal characteristics negative border midpoint itemset
author_facet	Umarani Venkatapathy Punithavalli Muthusamy
author_sort	Umarani Venkatapathy
title	Analysis of the progressive sampling-based approach using real life datasets
title_short	Analysis of the progressive sampling-based approach using real life datasets
title_full	Analysis of the progressive sampling-based approach using real life datasets
title_fullStr	Analysis of the progressive sampling-based approach using real life datasets
title_full_unstemmed	Analysis of the progressive sampling-based approach using real life datasets
title_sort	analysis of the progressive sampling-based approach using real life datasets
publisher	De Gruyter
series	Open Computer Science
issn	2299-1093
publishDate	2011-06-01
topic	data mining frequent itemset association rule mining (arm) apriori sampling progressive sampling sample size temporal characteristics negative border midpoint itemset
url	https://doi.org/10.2478/s13537-011-0016-y
work_keys_str_mv	AT umaranivenkatapathy analysisoftheprogressivesamplingbasedapproachusingreallifedatasets AT punithavallimuthusamy analysisoftheprogressivesamplingbasedapproachusingreallifedatasets
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Analysis of the progressive sampling-based approach using real life datasets

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