This paper presents the method for retrieving and summarizing changes in topics from online resources. Users often want to know what are the major changes in their areas of intere...
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
In various application domains there is a desire to compare process models, e.g., to relate an organization-specific process model to a reference model, to find a web service matc...
Ana Karla Alves de Medeiros, Wil M. P. van der Aal...
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently, we have been approached by Texas Commission on En...
We study a new data mining problem concerning the discovery of frequent agreement subtrees (FASTs) from a set of phylogenetic trees. A phylogenetic tree, or phylogeny, is an unorde...