SMCA: A general model for mining asynchronous periodic patterns in temporal databases

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Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/31958

Title:	SMCA: A general model for mining asynchronous periodic patterns in temporal databases
Authors:	Huang,KY;Chang,CH
Contributors:	資訊工程研究所
Keywords:	ASSOCIATION RULES;SEQUENCES
Date:	2005
Issue Date:	2010-07-06 18:15:20 (UTC+8)
Publisher:	中央大學
Abstract:	Mining periodic patterns in time series databases is an important data mining problem with many applications. Previous studies have considered synchronous periodic patterns where misaligned occurrences are not allowed. However, asynchronous periodic patte
Relation:	IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
Appears in Collections:	[Graduate Institute of Computer Science and Information Engineering] journal & Dissertation

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