We present a family of algorithms to uncover tribes--groups of individuals who share unusual sequences of affiliations. While much work inferring community structure describes lar...
Entity information management (EIM) is a nascent IR research area that investigates the information management process about entities instead of documents. It is motivated by the ...
Abstract-If data traffic were Poisson, increases in the amount of traffic aggregated on a network would rapidly decrease the relative size of bursts. The discovery of pervasive lon...
A neural network model that can simulate the learning of some simple proportional analogies is presented. These analogies include, for example, (a) red-square:red-circle yellow-sq...
The development of more and more complex distributed applications over large networks of computers has raised the problem of semantic interoperability across applications based on ...
Paolo Bouquet, Bernardo Magnini, Luciano Serafini,...