To operate successfully in indoor environments, mobile robots must be able to localize themselves. Most current localization algorithms lack flexibility, autonomy, and often optim...
We study the mining of interesting patterns in the presence of numerical attributes. Instead of the usual discretization methods, we propose the use of rank based measures to scor...
—In practice, one is often faced with incomplete phylogenetic data, such as a collection of partial trees or partial splits. This paper poses the problem of inferring a phylogene...
Daniel H. Huson, Tobias Dezulian, Tobias H. Kl&oum...
This article, which lies within the data mining framework, proposes a method to build classifiers based on the evolution of rules. The method, named REC (Rule Evolution for Classif...
In this paper we present an experimental study of several maximum flow algorithms in the context of unbalanced bipartite networks. Our experiments are motivated by a real world pr...
Cosmin Silvestru Negruseri, Mircea Bogdan Pasoi, B...