A new approach for discovering fuzzy quantitative sequential patterns in sequence databases

NCUIR > School of Management at National Central University > Graduate Institute of Information Management > journal & Dissertation > Item 987654321/31530

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/31530

Title:	A new approach for discovering fuzzy quantitative sequential patterns in sequence databases
Authors:	Chen,Yen-Liang;Huang,Tony Cheng-Kui
Contributors:	資訊管理研究所
Keywords:	ASSOCIATION RULES;GENERATION
Date:	2006
Issue Date:	2010-07-06 17:50:07 (UTC+8)
Publisher:	中央大學
Abstract:	Given a sequence database and minimum support threshold, the goal of mining quantitative sequential patterns is to discover the complete set of sequential patterns with purchased quantities in databases. Although this type of pattern can provide more info
Relation:	FUZZY SETS AND SYSTEMS
Appears in Collections:	[Graduate Institute of Information Management] journal & Dissertation

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