Traditional clustering is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. While domain knowledge is always the bes...
Frequent itemset mining has been the subject of a lot of work in data mining research ever since association rules were introduced. In this paper we address a problem with frequen...
Networking hardware manufacturers face the dual demands of supporting ever increasing bandwidth requirements, while also delivering new features, such as the ability to implement ...
Advances in tandem mass-spectrometry (MS/MS) steadily increase the rate of generation of MS/MS spectra and make it more computationally challenging to analyze such huge datasets. A...
Nuno Bandeira, Dekel Tsur, Ari Frank, Pavel A. Pev...
Abstract. With ever increasing amount of available data on protein-protein interaction (PPI) networks and research revealing that these networks evolve at a modular level, discover...