Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
Proponents of design notations tailored for specific application domains or reference architectures, often available in the form of UML stereotypes, motivate them by improved unde...
Filippo Ricca, Massimiliano Di Penta, Marco Torchi...
Agarwal and Karahanna (2000) suggested that holistic user experiences with IT contribute to users’ evaluation of and reaction to using the technology. They proposed and empirica...
The standard framework of machine learning problems assumes that the available data is independent and identically distributed (i.i.d.). However, in some applications such as image...
Sparse coding of sensory data has recently attracted notable attention in research of learning useful features from the unlabeled data. Empirical studies show that mapping the data...