Computing frequent itemsets is one of the most prominent problems in data mining. We study the following related problem, called FREQSAT, in depth: given some itemset-interval pai...
WebLQM is a system with capabilities to locate, query and mine web communities on the Internet. WebLQM has a special way to define the World Wide Web, its contents and relations. ...
The paper presents a method for pruning frequent itemsets based on background knowledge represented by a Bayesian network. The interestingness of an itemset is defined as the abso...
As the result of interactions between visitors and a web site, an http log file contains very rich knowledge about users on-site behaviors, which, if fully exploited, can better c...
The application of frequent patterns in classification has demonstrated its power in recent studies. It often adopts a two-step approach: frequent pattern (or classification rule) ...