Discovering fuzzy time-interval sequential patterns in sequence databases

NCUIR > School of Management at National Central University > Graduate Institute of Information Management > journal & Dissertation > Item 987654321/31572

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/31572

Title:	Discovering fuzzy time-interval sequential patterns in sequence databases
Authors:	Chen,YL;Huang,TCK
Contributors:	資訊管理研究所
Keywords:	ASSOCIATION RULES
Date:	2005
Issue Date:	2010-07-06 17:51:27 (UTC+8)
Publisher:	中央大學
Abstract:	Given a sequence database and minimum support threshold, the task of sequential pattern mining is to discover the complete set of sequential patterns in databases. From the discov-red sequential patterns, we can know what items are frequently brought toge
Relation:	IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
Appears in Collections:	[Graduate Institute of Information Management] journal & Dissertation

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