A sampling-based method for mining frequent patterns from databases

NCUIR > School of Management at National Central University > Graduate Institute of Information Management > journal & Dissertation > Item 987654321/31565

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/31565

Title:	A sampling-based method for mining frequent patterns from databases
Authors:	Chen,YL;Ho,CY
Contributors:	資訊管理研究所
Keywords:	ALGORITHM
Date:	2005
Issue Date:	2010-07-06 17:51:15 (UTC+8)
Publisher:	中央大學
Abstract:	Mining frequent item sets (frequent patterns) in transaction databases is a well known problem in data mining research. This work proposes a sampling-based method to find frequent patterns. The proposed method contains three phases. In the first phase, we
Relation:	FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, PT 2, PROCEEDINGS
Appears in Collections:	[Graduate Institute of Information Management] journal & Dissertation

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