Three major factors govern the intricacies of community extraction in networks: (1) the application domain includes a wide variety of networks of fundamentally different natures,...
Bruno D. Abrahao, Sucheta Soundarajan, John E. Hop...
Abstract—We generate and provide miniature synthetic benchmark clones for modern workloads to solve two pre-silicon design challenges, namely: 1) huge simulation time (weeks to m...
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
Purpose – This paper sets out to present the concept of the value of information, review the descriptive, rational, social and behavioral approaches for assessing the value of i...
Existing data mining techniques mostly focus on finding global patterns and lack the ability to systematically discover regional patterns. Most relationships in spatial datasets ar...
Oner Ulvi Celepcikay, Christoph F. Eick, Carlos Or...