Generalized association rule mining is an extension of traditional association rule mining to discover more informative rules, given a taxonomy. In this paper, we describe a forma...
?Mining association rules on large data sets has received considerable attention in recent years. Association rules are useful for determining correlations between attributes of a ...
All methods of association rule mining require the frequent sets of items, that occur together sufficiently often to be the basis of potentially interesting rules, to be first com...
To date, most association rule mining algorithms have assumed that the domains of items are either discrete or, in a limited number of cases, hierarchical, categorical or linear. ...
In this paper, we focus on the problem of integrating heterogeneous XML datasources. We follow a semantic approach to information sharing and integration, and we present a discipl...
Silvana Castano, Alfio Ferrara, G. S. Kuruvilla Ot...