Capturing association among items in a database

dc.contributor.author	Adhikari, A.
dc.contributor.author	Rao, P.R.
dc.date.accessioned	2015-06-03T09:55:30Z
dc.date.available	2015-06-03T09:55:30Z
dc.date.issued	2008
dc.identifier.citation	Data and Knowledge Engineering. 67(3); 2008; 430-443.	en_US
dc.identifier.uri	http://dx.doi.org/10.1016/j.datak.2008.07.002
dc.identifier.uri	http://irgu.unigoa.ac.in/drs/handle/unigoa/2118
dc.description.abstract	Measuring association among variables is an important step for finding solutions to many data mining problems. An existing metric might not be effective to serve as a measure of association among a set of items in a database. In this paper, we propose two measures of association, A(1) and A(2). We introduce the notion of associative itemset in a database. We express the proposed measures in terms of supports of itemsets. In addition, we provide theoretical foundations of our work. We present experimental results on both real and synthetic databases to show the effectiveness of A(2).	en_US
dc.publisher	Elsevier	en_US
dc.subject	Computer Science and Technology	en_US
dc.title	Capturing association among items in a database	en_US
dc.type	Journal article	en_US
dc.identifier.impf	y