Frequent subtree mining has attracted a great deal of interest among the researchers due to its application in a wide variety of domains. Some of the domains include bio informati...
In this paper, we propose a new approach to anomaly detection by looking at the latent variable space to make the first step toward latent anomaly detection. Most conventional app...
The paper combines and extends the technologies of fuzzy sets and association rules, considering users’ differential emphasis on each attribute through fuzzy regions. A fuzzy da...
Manyreal-world KDDexpeditions involve investigation of relationships betweenvariables in different, heterogeneousdatabases. Wepresent a dynamic programmingtechnique for linking re...
The task addressed and the method proposed in this paper aim at improved understanding of differences between similar diseases. In particular we address the problem of distinguish...
Petra Kralj, Nada Lavrac, Dragan Gamberger, Antoni...