We define quantitative similarity functions between timed transition systems that measure the degree of closeness of two systems as a real, in contrast to the traditional boolean ...
Thomas A. Henzinger, Rupak Majumdar, Vinayak S. Pr...
Abstract. Conceptual Graphs are a very powerful knowledge and meaning representation formalism grounded on deep philosophical, linguistic and object oriented principles [1], [2]. C...
Clustering or bi-clustering techniques have been proved quite useful in many application domains. A weakness of these techniques remains the poor support for grouping characterizat...
Polytypic functional programming has the advantage that it can derive code for generic functions automatically. However, it is not clear whether it is useful for anything other tha...
Arjen van Weelden, Sjaak Smetsers, Rinus Plasmeije...
Clustering is a fundamental task in Spatial Data Mining where data consists of observations for a site (e.g. areal units) descriptive of one or more (spatial) primary units, possib...
Donato Malerba, Annalisa Appice, Antonio Varlaro, ...