Capturing association among items in a database

Autor:	P. R. Rao, Animesh Adhikari
Rok vydání:	2008
Předmět:	Set (abstract data type) Information Systems and Management Database Computer science Metric (mathematics) InformationSystems_DATABASEMANAGEMENT Correlation and dependence Data mining computer.software_genre computer Associative property
Zdroj:	Data & Knowledge Engineering. 67:430-443
ISSN:	0169-023X
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d92ca9a281429081820c3c36b1e91be4 https://doi.org/10.1016/j.datak.2008.07.002 Zobrazit plný text záznamu Full Text from ScienceDirect