PROWL: An efficient frequent continuity mining algorithm on event sequences

NCUIR > College of Electrical Engineering & Computer Science > Graduate Institute of Computer Science and Information Engineering > journal & Dissertation > Item 987654321/32042

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/32042

Title:	PROWL: An efficient frequent continuity mining algorithm on event sequences
Authors:	Huang,KY;Chang,CH;Lin,KZ
Contributors:	資訊工程研究所
Date:	2004
Issue Date:	2010-07-06 18:17:16 (UTC+8)
Publisher:	中央大學
Abstract:	Mining association rule in event sequences is an important data mining problem with many applications. Most of previous studies on association rules are on mining intra- transaction association, which consider only relationship among the item in the same
Relation:	DATA WAREHOUSING AND KNOWLEDGE DISCOVERY, PROCEEDINGS
Appears in Collections:	[Graduate Institute of Computer Science and Information Engineering] journal & Dissertation

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