A wrapped feature selection process is proposed in the context of robust clustering based on Laplace mixture models. The clustering approach we consider is a generalization of the...
Treemaps, a space-filling method of visualizing large hierarchical data sets, are receiving increasing attention. Several algorithms have been proposed to create more useful displ...
Benjamin B. Bederson, Ben Shneiderman, Martin Watt...
Frequent structure mining (FSM) aims to discover and extract patterns frequently occurring in structural data, such as trees and graphs. FSM finds many applications in bioinformat...
Researchers from the same lab often spend a considerable amount of time searching for published articles relevant to their current project. Despite having similar interests, they c...
We consider the problem of estimating set-expression cardinality in a distributed streaming environment where rapid update streams originating at remote sites are continually tran...
Abhinandan Das, Sumit Ganguly, Minos N. Garofalaki...