The Rough Set-Based Algorithm for Two Steps

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Title:	The Rough Set-Based Algorithm for Two Steps
Authors:	Liao, Shu-hsien;Chen, Yin-ju;Ho, Shiu-Hwei
Contributors:	淡江大學管理科學學系
Keywords:	Rough sets;Association rules;Data mining;Knowledge management
Date:	2011-06-01
Issue Date:	2013-08-12 13:07:30 (UTC+8)
Publisher:	Heidelberg: Springer
Abstract:	The previous research in mining association rules pays no attention to finding rules from imprecise data, and the traditional data mining cannot solve the multi-policy-making problem. urthermore, in this research, we incorporate association rules with rough sets and promote a new point of view in applications. The new approach can be applied for finding association rules, which has the ability to handle uncertainty combined with rough set theory. In the research, first, we provide new algorithms modified from Apriori algorithm and then give an illustrative example. Finally, give some suggestion based on knowledge management as a reference for future research.
Relation:	Lecture notes in Computer Science 7063, pp.63-70
DOI:	10.1007/978-3-642-24958-7_8
Appears in Collections:	[Department of Management Sciences] Journal Article

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