The need for recommendation systems to ease user navigations has become evident by growth of information on the Web. There exist many approaches of learning for Web usage-based re...
We report on three distinct experiments that provide new valuable insights into learning algorithms and datasets. We first describe two effective meta-features that significantly ...
In this paper we revise the penalty term of the Bayesian Information Criterion (BIC). Based on our previous approach to penalize each cluster only with its corresponding effective...
Research on data integration has provided languages and systems able to guarantee an integrated intensional representation of a given set of data sources. A significant limitation...
Sonia Bergamaschi, Francesco Guerra, Mirko Orsini,...
In this paper, a new symmetry-based genetic clustering algorithm is proposed which automatically evolves the number of clusters as well as the proper partitioning from a data set. ...