Parallel TID-based frequent pattern mining algorithm on a PC Cluster
and grid computing system

CHUR > College Computer Science and Informatics > Department of Computer Science and Information Engineering > Journal Articles > Item 987654321/31563

Please use this identifier to cite or link to this item: http://chur.chu.edu.tw/handle/987654321/31563

Title:	Parallel TID-based frequent pattern mining algorithm on a PC Cluster and grid computing system
Authors:	游坤明 Yu, K.M.
Contributors:	資訊工程學系 Computer Science & Information Engineering
Keywords:	frequent pattern mining;association rules;data mining;grid computing;cluster computing
Date:	2010
Issue Date:	2014-06-27 01:30:58 (UTC+8)
Abstract:	The mining of frequent patterns from transaction-oriented databases is an important subject. Frequent patterns are fundamental in generating association rules, time series, etc. Most frequent pattern mining algorithms can be classified into two categories
Appears in Collections:	[Department of Computer Science and Information Engineering] Journal Articles

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