Discovering conjecturable rules through tree-based clustering analysis

NCUIR > School of Management at National Central University > Graduate Institute of Information Management > journal & Dissertation > Item 987654321/31571

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/31571

Title:	Discovering conjecturable rules through tree-based clustering analysis
Authors:	Hsu,WH;Jao,JA;Chen,YL
Contributors:	資訊管理研究所
Keywords:	DATABASES;ALGORITHM
Date:	2005
Issue Date:	2010-07-06 17:51:25 (UTC+8)
Publisher:	中央大學
Abstract:	We present a clustering technique to discover conjecturable rules from those datasets which do not have any predefined label class. The technique uses different attributes for clustering objects and building clustering trees. The similarity between object
Relation:	EXPERT SYSTEMS WITH APPLICATIONS
Appears in Collections:	[Graduate Institute of Information Management] journal & Dissertation

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