Mining Association Rules Using Value Dependence and Pseudo Intension

Association rules are useful for determining correlations between items and have applications in marketing, financial and retail sectors. Lots of algorithms have been proposed for finding the association rules in databases. In this paper, we propose a new algorithm to find out association rules. Fir...

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Bibliographic Details
Published in:	2009 International Conference on Management and Service Science pp. 1 - 3
Main Authors:	Fangqiao Xiao, Xiaoguang Hong, Keyong Yuan
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-09-2009
Subjects:	Application software Association rules Data mining Database systems Industrial relations Information management Mining industry Production Relational databases Solids
Online Access:	Get full text
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Summary:	Association rules are useful for determining correlations between items and have applications in marketing, financial and retail sectors. Lots of algorithms have been proposed for finding the association rules in databases. In this paper, we propose a new algorithm to find out association rules. First, attention is paid to value dependence theory. Then we study a theory called pseudo intension which is usually used in formal concept analysis (FCA). Finally, we propose an algorithm based on value dependence and pseudo intension theories to mine association rules.
ISBN:	1424446384 9781424446384
DOI:	10.1109/ICMSS.2009.5303041